Data Science with 3+ years in Data Analysis, Machine Learning & BI.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 3.0 years of experience, specializing in data analysis, machine learning, and business intelligence. Proven ability to conduct exploratory data analysis, build predictive models, and create interactive dashboards to derive actionable business insights. Eager to leverage strong technical skills in Python, SQL, and Power BI to solve complex data challenges and contribute to data-driven decision-making.
Pimpri Chinchwad College of Engineering
B.Tech · Electronics and Telecommunication Engineering
August 1, 2021 – June 30, 2025
Digidoc Solutions
Project Management Intern
July 1, 2024 – Present
Pune, Maharashtra, India
Turing Techlabs
Operations Intern
January 1, 2022 – January 1, 2023
Pune, Maharashtra, India
Space Titanic Survival Prediction and EDA
June 18, 2026 – Present
• Conducted exploratory data analysis on passenger data to identify patterns influencing survival outcomes. • Handled missing values, encoded categorical variables, and performed feature engineering for predictive modeling. • Built and evaluated machine learning classification models using Scikit-learn to predict passenger transport outcomes.
View ProjectDiwali Sales Analysis and Customer Insights
June 18, 2026 – Present
• Performed exploratory data analysis on Diwali sales data to identify customer purchasing behavior, product demand, and revenue trends. • Applied data cleaning and preprocessing techniques to handle missing values and improve dataset quality for analysis. • Analyzed sales patterns based on gender, age group, state, occupation, and product categories to derive business insights. • Created visualizations and statistical summaries to support data-driven decision-making and customer targeting strategies.
View ProjectPower BI Bot Performance Dashboard
June 18, 2026 – Present
• Designed an interactive dashboard to monitor chatbot performance metrics including response time, resolution rate, and user engagement. • Created KPI cards, trend visualizations, and filtering functionalities to improve reporting and operational analysis. • Enabled data-driven decision-making by presenting actionable insights through dynamic visual reports.
View ProjectTechcare - Intelligent Vitiligo Detection System
June 18, 2026 – Present
• Analyzed questionnaire-based healthcare data to identify risk patterns associated with vitiligo conditions. • Performed preprocessing and feature extraction on structured patient data for predictive analysis. • Built classification workflows using machine learning techniques for patient risk categorization and reporting.
View ProjectNPTEL - Machine Learning for Engineering and Science Applications
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in applying data science to various domains (e.g., space exploration, retail sales, healthcare, chatbot performance). Participation in hackathons and competitions suggests a proactive and competitive spirit, which can be a good cultural fit for dynamic, results-oriented teams. The current internship in project management also shows an understanding of operational workflows. However, all projects are academic, and the internships are not directly in data science, which might require a more structured environment for professional development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on data handling, reporting, and operational analysis. Participation in internships suggests an understanding of collaborative environments and project execution. However, the descriptions are brief, limiting a deeper assessment of soft skills like problem-solving under pressure or advanced teamwork.