Muzammil Ahmed

Research Assistant

The Pakistan Initiative · Contract

Remote

• Contributed to data-driven research outputs on Pakistan.

Research Consultant

Consortium for Development Policy Research · Contract

Lahore, Punjab, Pakistan

• Contributed to evaluations of policy interventions affecting collections of a national tax authority, working with government administrative datasets.
• Used Python and Stata to clean, merge, validate, and analyze large administrative datasets, conduct econometric analyses, and replicate research findings.
• Prepared research notes, analytical summaries, and project write-ups in LaTeX for policy analysis and stakeholder communication.
• Coordinated data requests with stakeholders, clarified variable definitions and dataset structures, and procured analysis-ready datasets.

Research Assistant

Shaikh Ahmad Hassan School of Law · Contract

Lahore, Punjab, Pakistan

• Worked under the supervision of Dr. Uzair J. Kayani on RASTA CGP #07-293: "Strengthening Judicial Independence: A Data-Driven Approach to Legal, Economic, and Ethical Competency." Funded through the RASTA Competitive Grants Program administered by the Pakistan Institute of Development Economics (PIDE), with support from the Sindh Judicial Academy, the project assessed an intervention for 126 judges, representing approximately 20% of Sindh’s district judiciary.
• Conducted Item Response Theory (IRT) analysis using 2PL, 3PL, and Bayesian models to evaluate judicial competency assessments, identifying and removing psychometrically weak items to improve measurement validity.
• Implemented randomization using a Bernoulli assignment protocol and validated experimental integrity through two-proportion Z-tests for attrition analysis.
• Estimated the effect of economic training on judicial competency outcomes using pre- and post-test responses, regression analysis in Stata, and correlations across outcome variables to assess changes in overall judicial ability and segmented outcomes.
• Developed an integrated R-Python-Stata analytical pipeline to manage multiple model iterations and generate comprehensive visualizations, including Item Characteristic Curves, Test Information Functions, and treatment-effect plots with confidence intervals.
• Consolidated the master dataset linking randomization assignments, pre/post-test responses, IRT ability estimates, and attrition tracking for final causal inference analysis.

• Research Assistant Experience Letter ↗
• Conference Paper ↗

Peer Ambassador Leader

MGSHSS LUMS · Contract

Lahore, Punjab, Pakistan · Hybrid

• Served as the primary academic mentor and contact for a total of 19 first-year MGSHSS LUMS students over two academic years (10 in Academic Year 2023-2024; 9 in Academic Year 2024-2025), addressing their individual needs and guiding them in navigating university challenges.
• Volunteered in planning the MGSHSS Batch 2025 Farewell and hosted the event.

• University Navigation Guide — Presentation I made for My Assigned Students

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• PAL Experience Letter ↗

Technical Trainer

Hameed Latif Hospital · Freelance

Lahore, Punjab, Pakistan

• Trained a team of 5 Oncology Department doctors through 6 hands-on sessions totaling 9 hours, covering statistical programming, quantitative data analysis, predictive modeling, text analysis, visualization design, statistical reporting, and survival curve analysis for cancer drug efficacy and medical research applications.

• Hameed Latif Hospital Experience Letter ↗

Consulting Intern

PwC · Internship

Lahore, Punjab, Pakistan · On-site

• Contributed to an Enterprise Risk Management project for a Pakistani pharmaceutical firm with ~PKR 24B in annual revenue as part of a 5-member team; completed 202 risk summaries across 7 business processes, supported the creation of 90+ Key Risk Indicators for 4 departments and 2 C-suite executives, and co-developed 11 Risk Appetite Statement Cards to strengthen departmental alignment and executive decision-making.
• Assisted in developing a Power BI dashboard to visualize process status, track gap resolution, and assign ownership.
• Applied Python-based analytics, including decision trees, Monte Carlo simulations, and value-at-risk (VaR) techniques, to build business cases for risk quantification and strengthen analytical decision support.

• PwC Internship Letter ↗

Teaching Assistant (Calculus II)

Syed Babar Ali School of Science and Engineering · Contract

Lahore, Punjab, Pakistan · On-site

• Served on a 3-member Teaching Assistant team for Calculus II, supporting 102 students in Fall 2023; designed and administered 6 quizzes over 4 months to reinforce core concepts and assess student learning.
• Oversaw 17 tutorial sessions and personally led 9, mentoring an average of 20 students per session to strengthen conceptual understanding and course performance.
• Ran an end-of-term survey measuring student attainment of course learning outcomes, reporting results to the concerned offices to support continuous improvement of teaching quality.

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• SBASSE Teaching Assistant Experience Letter ↗

Underwriting Intern

Asia Insurance Company Limited · Internship

Lahore, Punjab, Pakistan · On-site

• Reviewed entry of policy and endorsement documents for insured sums ranging from PKR 1M to PKR 23.5M into the company’s internal database; identified and corrected net premium calculation issues for co-insurance policies, improving data accuracy and premium computation reliability.

• Asia Insurance Internship Letter ↗

Weak-Form Efficient, Shock-Sensitive: Evidence from Energy Sector Stocks

• Built a 211-firm, 20-country energy-equities panel from 1.3M raw observations, producing 796K daily and 36K monthly records after extensive scraping, cleaning, feature engineering, and integration of firm-level data and country-specific market and macroeconomic data.
• Evaluated the predictability of energy-stock returns using Candlestick Rules, Geometric Brownian Motion simulations, Random Forest, Logistic Regression, and Naive Bayes across 1-, 5-, and 21-day horizons; the best forward-looking model achieved 48.03% accuracy, suggesting limited predictive power from historical prices and technical indicators and providing evidence consistent with weak-form market efficiency. A separate CAPM-based directional classifier achieved 70.99% accuracy, indicating that individual energy stocks moved closely with their country-level general market indices.
• Analyzed stock return sensitivity through 10 global shocks using event studies, then conducted firm-level segmentation by market cap, ownership structure, and industry; found Black Swan events (e.g., COVID-19, Suez Blockage) triggered negative alpha, while Geopolitical events (e.g., US Elections, Ukraine War) led to positive alpha—with small, private, and non-Oil & Gas firms showing disproportionately higher volatility.

Classification of Urdu News Articles

• Collected and preprocessed a dataset of over 3,200 Urdu news articles scraped from major news portals, removing null entries, duplicates, punctuation, and non-Urdu characters; leveraged the Urduhack library for text normalization, lemmatization, and stopword removal (476 stopwords) while establishing a consistent labeling system and combining article content with weighted titles.
• Developed and evaluated machine learning models—including Neural Networks, Logistic Regression, and Multinomial Naive Bayes—to classify articles into business, sports, tech, entertainment, and international categories, achieving test accuracies exceeding 90% with Neural Networks delivering the best performance.

Designing a Unit Linked Insurance Product

• Designed a ULIP for a Hypothetical Company known as Ascend by merging insurance with investments, using key assumptions: a 12% expected return, 100% surrender charge in the first three years, and an average customer profile (35-year-old, 10-year term, 2.2M sum assured, PKR 100,000 annual premium). The product featured an increasing allocation structure—70% in the first four years, rising to 100% by years eight to ten—to enhance customer satisfaction.
• Conducted sensitivity analyses showing that policyholder satisfaction (120.78%) directly correlated with earnings rate while profitability remained at 13.17%. Compared competitor structures and revised the product to feature higher initial allocations and incremental increases, recommending modifications to capture market share in the short term and drive long-term profitability through additional riders.

Equity Portfolio Management: Design, Analysis, and Performance Tracking

• Developed three hypothetical investment funds using the PSX Data Portal with distinct strategies: one passive fund tracking the KSE 30 Index, one active low-leverage fund spanning multiple sectors, and one value-focused fund selecting stocks with high intrinsic potential—all informed by macroeconomic indicators and evaluated with risk-adjusted metrics.
• Analysis revealed daily returns of 1.29% for the passive fund, 0.48% for the active low-leverage fund, and 0.40% for the value-focused fund, demonstrating differentiated performance outcomes within the PSX.

Observations on the Open Economy Model

• Developed and simulated a small-open-economy DSGE model in MATLAB using Dynare to evaluate fiscal, monetary, and exchange-rate policy under alternative assumptions about capital mobility, exchange-rate flexibility, and economic openness; modeled responses to fiscal, monetary, productivity, supply, trade-balance, risk-premium, and terms-of-trade shocks.
• Analyzed impulse-response functions across multiple policy regimes, finding that productivity-enhancing interventions most effectively offset adverse supply shocks by raising output, lowering inflation, and supporting currency appreciation, while interest-rate and fiscal responses created output–inflation trade-offs.
• Identified a fiscal price puzzle under perfect capital mobility, where fiscal expansion raised output but was accompanied by currency appreciation and deflation, highlighting potential misspecification in the model’s exchange-rate and inflation transmission mechanisms.

Analysis of Nishat Mills Ltd's Corporate Governance

• Conducted a detailed analysis of Nishat Mills Ltd's corporate governance, identifying a Shadow Director (also MCB's Chairman) linked to significant overdrafts, mapping shareholding patterns (Shadow Director, Institutional Investors, General Public), and uncovering gaps in risk management and environmental sustainability—exacerbated by missing Articles of Association (located with NEPRA) and poor inter-agency data sharing.
• Recommended updating the Code of Corporate Governance to address Shadow Directorship and proposed enhanced collaboration between SECP, PSX, and NEPRA to ensure robust risk management, improved regulatory oversight, and effective climate change mitigation strategies in the textile sector.

Analyzing Blitz Game Data From Chess.com

Medium.com

• Conducted an extensive analysis of GM blitz chess games using the Chess.com API, compiling a 2.41GB dataset of 748,102 game records (January 2010–February 2024) from the top 50 GMs. This involved meticulous cleaning (removing duplicates, null values, irrelevant columns) and exploring strategic patterns, game durations, and external influences such as COVID-19 and "The Queen's Gambit" on popular openings like the Sicilian Defense.
• Preprocessed the dataset with label mapping, one-hot encoding, standard scaling, and up-sampling to address class imbalances; developed and evaluated multiple predictive models—including Logistic Regression (achieved the highest accuracy of 69%), Stochastic Gradient Descent Classifier, Support Vector Machine (SVM), Neural Network MLP, and K-Nearest Neighbors (KNN)—demonstrating proficiency in machine learning and strategic outcome forecasting.

• Show publication ↗

Lahore University of Management Sciences

Bachelor of Sciences - BSc, Economics and Mathematics (Joint Major) - Computer Science (Minor) - Computational Finance (Minor)

• Graduated with Distinction, completing 146 credit hours against a graduation requirement of 130 credit hours.

• Official Degree ↗

Beaconhouse

GCE A Level, Business Group

Subjects: Economics, History, English Language & Mathematics.

Leadership: Vice President Business Society

• Managed two teams for the YLES 15th Edition Entrepreneurship Competition, directing strategic planning and team coordination.
• Coordinated a collaboration with the Society of Academic Excellence, facilitating targeted guidance and mentoring for students in Business Group subjects (GCE O Levels & A Levels).

Beaconhouse

GCE O Level & IGCSE, Business Group

Subjects: English Language, Literature in English, Urdu - First Language, Mathematics, Additional Mathematics, Pakistan Studies, Islamiyat, Global Perspectives, Business Studies, Economics, Principles of Accounts & Commerce.

Leadership: Class Representative

• Spearheaded the "Jail Activity" at the Annual Bonfire Event as our Class Activity, collaborating with two peers to design and implement a fundraising initiative that raised approximately Rs. 28,000 for charity.

Beaconhouse

Primary & Middle School

Leadership: President Disciplinary Committee

• Implemented a weekly anonymous reporting system for bullying, ensuring direct student-to-administration communication.
• Monitored uniform compliance and intervened in student conflicts, significantly enhancing campus discipline and respect.
• Reduced student infighting from significant levels in the Fall Term to zero incidents by Spring Term through targeted interventions and improved communication protocols.

Learner's Republic Policy Fellowship

Issued by atomcamp

The fellowship was delivered as a seminar-style course comprising lectures and discussions with specialized field mentors as well as writing tasks on Pakistan's public policy landscape.

• Show credential ↗

Analyzing Election and Polling Data in R

Issued by DataCamp

Credential ID 149b36691803a74bf49bba267ba7b71f7f4ab760

The course provided an overview of data manipulation, visualization, mapping, regression, and prediction with election results and public opinion polling using R.

• Show credential ↗

Award of Distinction

Issued by Lahore University of Management Sciences

Associated with Lahore University of Management Sciences

Graduated with a CGPA above 3.6, recognized for consistent academic excellence.

• Distinction Award ↗

Emergency Management Training Programme 2022 Winner

Issued by LUMS EMS

Associated with Lahore University of Management Sciences

Part of the winning team at the Emergency Management Training Programme 2022 organized by LUMS EMS.

• EMTP'22 Certificate ↗
• EMTP'22 Medal ↗

Orientation Week Coach

LUMS Orientation

• Selected as one of 120 Orientation Week Coaches from a pool of 1,100 applicants to support incoming first-year students.
• Guided a group of 19 first-year students throughout Orientation Week by leading ice-breaking and skill-building activities and providing personalised support, helping create a welcoming and inclusive environment and ease their transition to university life.
• Led and motivated the group to secure first place in the Orientation Week Snakes and Ladders competition.

• O-Week Group Photo

Director Marketing

FINTRA (LUMS Finance Society)

• Secured sponsorship support (PKR 100,000) for a Financial Awareness Session organized for LUMS staff and a Women in Business Panel Talk.

• Women in Business Panel Talk
• Financial Awareness Session for LUMS Staff

Assistant Director Marketing

Riayat LUMS Chapter

• Managed event-day coordination of vendor stalls at LUMS, supporting women entrepreneurs in showcasing and selling their products.

• Women Entrepreneurs Stalls at EmpowerMunch

Assistant Director Marketing

LUMS Environmental Action Forum

• Coordinated a school visit focused on raising awareness about plastic pollution and promoting recycling through interactive activities.

Team Member

Hum-Aahang

• Supported the event-day execution of a Christmas celebration for LUMS staff.

Volunteer

LUMS Community Service Society

• Volunteered for Dawat e Iftaar 2024, helping organize an Iftaar at SOS Village for children during Ramadan.

• LCSS Dawat e Iftaar Certificate ↗

Assistant Director Operations

LUMS Equestrian Club

Assistant Director Marketing

LUMS Students Mathematics Society

Assistant Project Head (Economics)

LUMS Student Policy Research Initiative

Summer Intern

WWF - Pakistan

Environment

• Developed and executed a fundraising strategy by launching a shirt sale at Lahore's Liberty Market, raising PKR 5,000 for charity.
• Collaborated in a 7-member team to advise 11 carwashes on water management improvements, driving sustainable practices through on-site training and persuasive guidance.
• Partnered to inspect and report water leakages in 32 low-income households, ensuring timely repairs by coordinating with local authorities.

• WWF Community Service Letter ↗