Data Science with 2+ years in Data Analysis & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking to contribute in the field of Data Science to apply my skills in data analysis, machine learning and statistical modeling. Eager to contribute in data-driven solutions and continuously enhance my expertise while helping organizations make impactful decisions.
Bengal Institute of Technology
Bachelor of Technology (B.Tech) · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Progressive Central School
Senior Secondary (XII) · CBSE
N/A – May 31, 2019
Sadhana Devi Vidyapith
Secondary (X) · CBSE
N/A – May 31, 2016
Linear regression model using Python
August 1, 2024 – June 1, 2026
• Predicted the salary of newly hired employees by training models using Linear Regression, Ridge Regression, Lasso Regression and Regression Tree with ensemble techniques. • The best model was obtained using Random Forest, as it gave the highest R-squared value and the lowest mean squared error.
Tableau dashboard
July 1, 2024 – June 1, 2026
• Developed a dashboard for Bike Heavens to analyze sales based on region, product type and customer region. • Created multiple charts, followed by an interactive dashboard designed for the sales team.
Auction strategy for a new IPL franchise
June 1, 2024 – June 1, 2026
• Developed an auction strategy for a new IPL team by analyzing potential players using SQL. • Created a presentation listing players to target, including Aggressive Batsmen, Anchor Batsmen, Big Hitters, Economical Bowlers, Wicket-taking Bowlers, Allrounders and Wicketkeepers.
Analyze fitness data using Excel
May 1, 2024 – June 1, 2026
• Analysed Fitbit fitness tracker data to help WeFit and its subsidiaries to create targeted marketing strategies and business solutions. • Filtered and cleaned the data then applied conditional formatting, created charts and dashboards.
Data Science Placement Guarantee Course
Internshala Trainings
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest within data science, from sports analytics to sales analysis and fitness data. This diversity suggests adaptability and a willingness to explore different problem domains. The target role of Data Science aligns well with the skills and projects presented. However, the lack of real-world team projects or professional experience limits the assessment of cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and present findings. The academic nature of projects suggests a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader work attitude.