B.Tech Computer Science student building data-driven solutions, predictive models, and uncovering actionable insights from raw data.
I am a motivated B.Tech Computer Science student with hands-on experience in Python, data preprocessing, exploratory data analysis, and predictive machine learning workflows.
I enjoy working with datasets, discovering meaningful patterns, and converting raw information into actionable insights. Served as Campus Ambassador for IIT Delhi (eDC), Google Student Ambassador, and Hacktoberfest 2025 contributor while continuously upskilling in ML, AI, SQL, and predictive analytics.
End-to-end ML pipeline predicting student scores from study hours using Linear Regression, data cleaning, and regression diagnostics.
In-depth exploratory data analysis on Kaggle Titanic data with title-based age imputation, categorical encoding, and 10+ visualizations.
Automated data pipeline analyzing 5,000+ retail records for monthly revenue trajectories, category profit margins, and regional patterns.
Computer vision pipeline featuring grayscale conversion, Gaussian smoothing, Canny edge detection, and contour object detection.
Comprehensive seasonal agricultural yield analysis evaluating historical weather dynamics, crop output, and seasonal trends.
Exploratory data analysis of movie and TV show releases investigating content type ratios, country-wise outputs, and genre trends.
Researching new models for natural language processing and text summarization to improve predictive capabilities.
Building a real-time dashboard for tracking personal finance metrics and stock market trends.
Scroll to trace the journey — follow the navigational energy beam as it flows through milestones from my first lines of code to building production AI systems.
Managed digital campaigns, audience analytics, and structured outreach, building foundations in communication and campaign performance.
Began B.Tech in Computer Science at JB Institute of Technology (affiliated with Uttarakhand Technical University), studying data structures, Python, and algorithms.
Assisted in data collection and structured reporting for social impact initiatives in New Delhi, developing initial data processing skills.
Promoted skill-development and online certification programs across campus, helping student peers enroll in technology courses.
Promoted Pravritti 2025 at campus level, driving measurable registrations through targeted student outreach and community liaison.
Represented IIT Delhi Entrepreneurship Development Cell (eDC) and Office of Career Services, driving student awareness and career workshops.
Drove awareness for IIT Bombay E-Summit among 400+ students, executing social media campaigns and peer-networking drives.
Empowered 200+ students through AI/ML workshops focusing on Google Gemini AI and generative tools, tripling campus AI community participation.
Contributed to 5+ open-source repositories during Hacktoberfest 2025 with verified PRs, and selected as official Representative for ECWoc.
Continuing leadership as Campus Ambassador for IIT Delhi eDC, fostering entrepreneurship and hackathon participation among 500+ peers.
A verified track record of consistent hands-on learning, open-source contributions, and multi-institute campus leadership.
Earned official verified certification validating core data science capabilities: Python programming syntax, Pandas DataFrames, NumPy multi-dimensional matrices, and data wrangling.
Appointed Google Student Ambassador to champion AI literacy, hosting hands-on workshops on Google Gemini AI, generative AI tools, and practical ML demos for 200+ engineering peers.
Awarded official Verified Contributor badge for contributing to 5+ public open-source repositories, resolving bugs, improving documentation, and supporting Python data science utilities.
Selected as Verified Contributor and official Representative for the ECWoc open-source initiative, mentoring new contributors and advocating for open collaboration.
Participated in the annual entrepreneurship summit organized by IIT Roorkee, engaging with industry founders, product workshops, and innovation challenges.
Collaborated in team-based sprint programming to design functional software solutions, solving real-world challenges within tight competition deadlines.
Received Certificate of Participation for prototyping innovative software and algorithmic concepts under fast-paced hackathon constraints.
Represented top national institutions and platforms simultaneously (IIT Delhi x2, IIT Bombay, IIT Roorkee, Google, Internshala, MyCaptain), reaching 500+ students.
Engineering writeups on artificial intelligence, computer vision, web architecture, and systems development.
Deep dive into developing a machine learning pipeline predicting academic performance from study habits, featuring data preprocessing, EDA, feature engineering, and regression diagnostics.
Comprehensive exploratory data analysis examining survival dynamics, imputation strategies for missing demographics, and multidimensional categorical encoding.
Transforming 5,000+ rows of raw transactional retail records into an automated multi-panel analytical report showing monthly revenue, category margins, and regional patterns.
Hands-on guide to foundational image transformations: grayscale conversion, Gaussian smoothing, Canny edge detection, and contour analysis on real-world test images.
Have an idea, an ML problem statement, or a data science opportunity? Drop a message and let's turn raw data into intelligent insights together.
