Nikhil Chauhan profile photo 1 on Tal

Nikhil Chauhan

Data & Machine Learning Engineer | Python, SQL, ML Systems, Backend Engineering, REST APIs | Open to Opportunities

Chandigarh

< 1 year of work experience

Independent
Jun 20252 mosJul 2025

Jalandhar, Punjab, India

AI-Powered Campus Placement Matcher Our project is an AI-driven platform that bridges the gap between college students and recruiters by intelligently matching student skills and resumes with the most relevant job opportunities. Using advanced data collection, semantic analysis, and role relevance filtering, it helps colleges target the right companies and improves placement outcomes—especially for Tier 2 and Tier 3 institutions. The system goes beyond basic keyword matching, using smart algorithms to understand context, location preferences, salary expectations, and skill alignment, ensuring recruiters connect with the right talent faster.
Independent
Mar 20252 mosApr 2025

Developed a content-based recommendation engine that suggests books tailored to user preferences, implementing end-to-end data preprocessing, modeling, and deployment. Key Responsibilities & Achievements: 1.Data Gathering & Cleaning: Processed 5,000+ book metadata entries (titles, authors, genres, descriptions) for consistency and accuracy. 2.Feature Engineering: Applied TF-IDF vectorization on book descriptions to capture semantic meaning for matching. 3.Model Development: Implemented cosine similarity for ranking book relevance to user input. 4.Interface Design: Built a Flask-based web application to accept user preferences and display top recommendations in real time. 5.Optimization: Improved recommendation accuracy by refining text preprocessing (stopword removal, lemmatization).
Independent
Jan 20252 mosFeb 2025

Developed an interactive Power BI dashboard analyzing cricket match data to uncover player performance trends and match outcomes, integrating end-to-end data handling and visualization. Key Responsibilities & Achievements: 1.Data Gathering: Extracted raw cricket match statistics from JSON datasets, ensuring structured format for analysis. 2.Data Cleaning: Utilized Pandas in Python to handle missing values, normalize column names, and format numerical and date-time fields for accuracy. 3.Transformation: Aggregated batting, bowling, and match data for KPIs such as strike rate, economy rate, and win/loss ratios. 4.Dashboard Design: Built an interactive Power BI report with: 5.Drill-through filters for player, team, and tournament-level insights 6.Custom DAX measures for advanced statistical calculations 7.Dynamic visuals for performance comparisons and trend analysis 8.Improved data interpretation speed for cricket analytics by enabling stakeholders to find insights in seconds.
Independent
Jul 20242 mosAug 2024

Jalandhar, Punjab, India

Contributed to the development of Pathwiser, an AI-powered academic assistant that helps students prepare for exams efficiently through personalized scheduling, interactive visualizations, and real-time learning support. Key Responsibilities & Achievements: 1.Frontend Development: Built and optimized the React-based user interface for study scheduling, roadmap tracking, and AI assistant interactions. 2.Concept Visualization: Integrated Mermaid.js to dynamically render diagrams and concept maps for better comprehension of study material. 3.AI Study Plan Generator: Worked on frontend logic to collect exam dates & uploaded PDFs, sending them to backend AI models to generate a day-by-day study plan for last-minute preparation. 4.Code Debugger Interface: Developed the frontend for a real-time code debugger that displays errors and corrected versions from the backend AI. 5.Learning Roadmaps: Implemented responsive roadmap displays, allowing students to track progress and completion. 6.AI Assistant UI: Designed an intuitive chatbot interface to handle academic queries in real time.

Education

Punjab technical university

Bachelor of Technology - BTech, Computer Science

Punjab technical university

20224 yrs2026

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Nikhil Chauhan on Tal

Headline

Data & Machine Learning Engineer | Python, SQL, ML Systems, Backend Engineering, REST APIs | Open to Opportunities

About

I am a final-year B.Tech student passionate about solving problems through data and AI. I work at the intersection of data science, machine learning, and backend systems, focusing on building practical, production-oriented solutions rather than academic models. I have hands-on experience with Python, SQL, ML pipelines, feature engineering, model evaluation, and backend integration. Recently, I worked on projects involving data quality checks, anomaly detection, and structured extraction from real-world datasets. I am actively seeking Data Science, Machine Learning Engineer, or Backend-focused roles where I can contribute to real systems and grow in a production environment.

Location

Chandigarh

Work experience

Data Scientist at Independent, Jun 2025 - Jul 2025 · 2 mos, Jalandhar, Punjab, India, AI-Powered Campus Placement Matcher Our project is an AI-driven platform that bridges the gap between college students and recruiters by intelligently matching student skills and resumes with the most relevant job opportunities. Using advanced data collection, semantic analysis, and role relevance filtering, it helps colleges target the right companies and improves placement outcomes—especially for Tier 2 and Tier 3 institutions. The system goes beyond basic keyword matching, using smart algorithms to understand context, location preferences, salary expectations, and skill alignment, ensuring recruiters connect with the right talent faster.

Data Scientist at Independent, Mar 2025 - Apr 2025 · 2 mos, Developed a content-based recommendation engine that suggests books tailored to user preferences, implementing end-to-end data preprocessing, modeling, and deployment. Key Responsibilities & Achievements: 1.Data Gathering & Cleaning: Processed 5,000+ book metadata entries (titles, authors, genres, descriptions) for consistency and accuracy. 2.Feature Engineering: Applied TF-IDF vectorization on book descriptions to capture semantic meaning for matching. 3.Model Development: Implemented cosine similarity for ranking book relevance to user input. 4.Interface Design: Built a Flask-based web application to accept user preferences and display top recommendations in real time. 5.Optimization: Improved recommendation accuracy by refining text preprocessing (stopword removal, lemmatization).

Data Analyst at Independent, Jan 2025 - Feb 2025 · 2 mos, Developed an interactive Power BI dashboard analyzing cricket match data to uncover player performance trends and match outcomes, integrating end-to-end data handling and visualization. Key Responsibilities & Achievements: 1.Data Gathering: Extracted raw cricket match statistics from JSON datasets, ensuring structured format for analysis. 2.Data Cleaning: Utilized Pandas in Python to handle missing values, normalize column names, and format numerical and date-time fields for accuracy. 3.Transformation: Aggregated batting, bowling, and match data for KPIs such as strike rate, economy rate, and win/loss ratios. 4.Dashboard Design: Built an interactive Power BI report with: 5.Drill-through filters for player, team, and tournament-level insights 6.Custom DAX measures for advanced statistical calculations 7.Dynamic visuals for performance comparisons and trend analysis 8.Improved data interpretation speed for cricket analytics by enabling stakeholders to find insights in seconds.

Frontend Web Developer at Independent, Jul 2024 - Aug 2024 · 2 mos, Jalandhar, Punjab, India, Contributed to the development of Pathwiser, an AI-powered academic assistant that helps students prepare for exams efficiently through personalized scheduling, interactive visualizations, and real-time learning support. Key Responsibilities & Achievements: 1.Frontend Development: Built and optimized the React-based user interface for study scheduling, roadmap tracking, and AI assistant interactions. 2.Concept Visualization: Integrated Mermaid.js to dynamically render diagrams and concept maps for better comprehension of study material. 3.AI Study Plan Generator: Worked on frontend logic to collect exam dates & uploaded PDFs, sending them to backend AI models to generate a day-by-day study plan for last-minute preparation. 4.Code Debugger Interface: Developed the frontend for a real-time code debugger that displays errors and corrected versions from the backend AI. 5.Learning Roadmaps: Implemented responsive roadmap displays, allowing students to track progress and completion. 6.AI Assistant UI: Designed an intuitive chatbot interface to handle academic queries in real time.

Education

Bachelor of Technology - BTech, Computer Science, Punjab technical university