Headline

Data Science Enthusiast | Skilled in Python, SQL, Scikit-Learn | Strong in EDA, Data Cleaning & Model Building | Actively Seeking Internships

About

Aspiring Data Scientist | Python • SQL • Scikit-learn • EDA • Predictive Modeling I’m a data-driven student building practical experience in data science through end-to-end projects. I convert raw data into actionable insights using Python, Pandas, NumPy, and SQL, visualize findings with Matplotlib and Seaborn, and deploy predictive models with Scikit-Learn. My workflow focuses on solid data cleaning, feature engineering, model evaluation, and clear storytelling so technical results create business impact. Highlights: • Built multiple projects that include exploratory data analysis, data-wrangling pipelines, and supervised learning models (regression & classification) to solve real problems. • Hands-on with model building and evaluation: cross-validation, hyperparameter tuning, and performance metrics to ensure robust predictions. • Created interactive visualizations and reports that communicate insights to non-technical stakeholders and inform decision making. • Comfortable working in Jupyter Notebook and Excel for rapid prototyping and analysis. I’m actively expanding my portfolio with projects that emphasize scalability and product relevance — aiming to move from academic exercises to production-oriented solutions at product-based companies. I’m detail-oriented, open to feedback, and focused on measurable improvements (accuracy, precision, automation) rather than buzzwords. Let’s connect — I’m open to internships and entry-level roles in data science or ML. Check my projects on my profile or message me if you’d like to collaborate or discuss opportunities.

Location

Gwalior

Work experience

Data Science Intern at Self-Employed, Jun 2025 - Present · 1 yr 1 mo, Remote, • Built and deployed multiple end-to-end machine learning models using Python, Pandas, NumPy, and Scikit-learn, solving real-world problems like prediction, classification, and trend analysis • Conducted deep exploratory data analysis (EDA) and created actionable dashboards using Matplotlib and Seaborn, improving clarity and insight from datasets • Cleaned and transformed large datasets with SQL and Python, improving data quality and analysis speed by over 30% • Engineered features and applied hyperparameter tuning to optimize model performance, achieving up to 85–90% accuracy in classification models • Documented all projects on GitHub and used Jupyter Notebooks to present step-by-step logic and insights, enhancing reproducibility and clarity • Collaborated with peers for feedback and continuous improvement, mimicking real-world data team workflows

Machine Learning Intern at Elevate Labs, Sep 2025 - Oct 2025 · 2 mos, Remote, - Worked on real-time projects involving data preprocessing, feature engineering, and model development. - Built and evaluated machine learning models to solve practical problems. - Implemented AI solutions using Python and libraries like TensorFlow, Keras, and Scikit-learn. - Gained hands-on experience in model evaluation, optimization, and deployment concepts.

Data Science Intern at OutriX, Aug 2025 - Sep 2025 · 2 mos, Gurugram, Haryana, India, Completed a Data Science Internship focused on real-world problem solving and machine learning applications. 🔹 Performed Exploratory Data Analysis (EDA) on student performance data to uncover insights and trends. 🔹 Built a content-based Movie Recommender System using NLP techniques (CountVectorizer + Cosine Similarity). 🔹 Developed a Customer Segmentation model using K-Means clustering to identify customer groups based on income and spending behavior. 🔹 Applied Python, Pandas, Scikit-learn, Matplotlib, and Seaborn for data preprocessing, visualization, and model building. This internship gave me hands-on experience with both supervised and unsupervised learning while improving my data cleaning, feature engineering, and visualization skills.

Education

Bachelor of Technology - BTech, Mathematics and Computer Science, Madhav Institute of Technology and Science, Gwalior