Mohammed Ali Khan

Recent IIT Kanpur M.Tech graduate with hands-on experience in Machine Learning, Data Science, Generative AI, and Predictive Analytics. Built end-to-end ML pipelines, LLM-powered multi-agent systems, recruitment intelligence platforms, credit risk models, insurance analytics solutions, and seismic hazard assessment frameworks. Skilled in Python, SQL, Scikit-Learn, XGBoost, LangGraph, Tableau, and modern AI technologies, with a strong focus on solving real-world business problems through data-driven decision making.

Data Science Intern (Team Lead) - My Analytics School

(2025-06 - 2025-07)

Project: MASight – AI-Powered Recruitment Intelligence Platform

• Led a team of 8 in designing and developing MASight, an AI-powered recruitment intelligence platform that automated candidate screening for 1000+ applicants, reducing manual evaluation effort by 99%.
• Architected a LangGraph-based multi-agent system for candidate profiling, LLM-powered reasoning, automated scoring, and role-fit assessment.
• Built a scalable Python-based ETL pipeline to process 1000+ resumes, performing feature extraction, preprocessing, and candidate intelligence generation.
• Developed automated resume parsing workflows using LayoutLM and document intelligence models, transforming unstructured resumes into structured candidate profiles.
• Integrated Gmail and Twilio APIs to automate candidate communication, workflow orchestration, and end-to-end recruitment operations.
• Generated automated candidate intelligence reports with ranking metrics, evaluation insights, and candidate recommendations, enabling faster and data-driven hiring decisions.

Data Science Intern - Finlatics (Fincrux Technologies LLP)

(2024-12 - 2025-02)

Project: Digital Marketing Campaign Analysis

• Performed exploratory data analysis (EDA) on large-scale marketing datasets using Python, Pandas, Matplotlib, and Seaborn to uncover actionable business insights.
• Built reproducible analytics pipelines and KPI dashboards for campaign monitoring, stakeholder reporting, and performance tracking.
• Applied statistical analysis, hypothesis testing, and experiment-driven evaluation to identify inefficiencies and improve overall marketing ROI.
• Delivered data-backed recommendations that supported strategic decision-making and improved visibility into campaign performance.

M.Tech - Geological Technology - IIT Kanpur (2024 - 2026)

M.Sc. - Applied Geology - Aligarh Muslim University (2021 - 2023)

B.Sc. (Hons.) - Geology - Aligarh Muslim University (2018 - 2021)