Data Analyst with less than a year in AI/ML and Python/SQL
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Data Analyst and aspiring ML/AI practitioner fluent in Python, SQL, and machine learning, with hands-on delivery across recommendation systems, time-series forecasting, and large-scale statistical analysis. Work spans a content-based recommender serving a 1M+ product catalog at sub-100ms latency and regression models holding 98% data consistency. A/B testing, predictive modeling, and dashboarding cut query latency 35% and sharpened data-driven decisions 15%. Deep strengths in feature engineering, data wrangling, exploratory data analysis (EDA), and data visualization, with a track record of shipping production-grade analytics on deadline.
Ajay Kumar Garg Engineering College, Ghaziabad
B.Tech · Computer Science Engineering (Artificial Intelligence and Machine Learning)
August 1, 2023 – June 30, 2026
Board of Technical Education, Uttar Pradesh
Diploma · Computer Science Engineering
N/A – June 30, 2023
Coding Club India
Data Analytics, AI/ML & Web Development Intern
January 1, 2026 – Present
India
Advanced Ecommerce Recommendation System
June 21, 2026 – Present
• Engineered a content-based recommendation engine returning product suggestions under 100ms across a catalog of 1M+ items, broadening discovery during high-volume browsing sessions. • Achieved 98% recommendation accuracy by tuning TF-IDF, Word2Vec, and Bag-of-Words representations, lifting click-through relevance 20% above a baseline ranking. • Integrated the Amazon Product Advertising API to augment 1M+ product records, boosting metadata coverage 40% and refining suggestions for sparse categories. • Reduced cold-start gaps by blending API metadata with text features, expanding recommendable inventory 15% and trimming empty-result queries 25%.
View ProjectAir Quality Prediction
June 21, 2026 – Present
• Built pollution forecasting models in Python tracking Air Quality Index (AQI) movement across 12 months, enabling early-warning insight for 3 monitored regions. • Streamlined preprocessing and feature engineering over 30K+ readings, reaching 98% data consistency and clearing 12% of malformed records before training. • Improved forecast accuracy 22% by applying regression techniques and feature optimization, lowering mean prediction error to under 8 AQI points.
Artificial Intelligence & Machine Learning Specialization
Coding Club India
January 1, 2025 – Present
500+ SQL challenges completed on LeetCode, HackerRank, StrataScratch, and SQLZoo
Unknown
January 1, 2025 – Present
Python for Data Science
Coding Club India
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's background includes both academic and practical experience in AI/ML and Data Analytics, aligning well with a data-driven culture. The completion of numerous SQL challenges and certifications from 'Coding Club India' suggests a proactive learning attitude and self-motivation. The projects, while personal, demonstrate initiative and a passion for the field. However, the lack of team-based project descriptions or collaborative work outside of the internship makes it difficult to fully assess cultural fit in a collaborative team environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience indicate a results-oriented approach, with quantifiable achievements in improving accuracy, reducing latency, and increasing engagement. The ability to automate routines and optimize queries suggests an operational mindset focused on efficiency. The diverse project portfolio also hints at adaptability and a willingness to tackle different problem domains.