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Entry-Level Data Science with strong analytical and problem-solving skills
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering student with strong analytical skills and hands-on experience in data analysis and problem-solving. Proficient in Python, SQL, and data visualization tools to extract insights and support decision-making. Passionate about leveraging data to drive business impact.
Dayananda Sagar College of Engineering
Bachelor of Engineering · Electronics and Telecommunication
August 1, 2022 – June 30, 2026
Mahajana PU College
Pre-University Course
June 1, 2020 – May 31, 2022
Sales & Customer Analytics Dashboard
June 24, 2026 – Present
Designed a relational database integrating customer, product, and sales data; performed optimized SQL queries for analysis Developed KPIs (Total Revenue, AOV, Repeat Customer Rate, MoM Growth) using DAX Built an interactive Power BI dashboard for trend analysis, product performance, and customer segmentation
Retail Demand Prediction
June 24, 2026 – Present
Preprocessed data and engineered time-based, lag, and rolling features for demand patterns -Trained a Random Forest model to predict weekly sales; evaluated using MAE and RMSE -Visualized actual vs predicted trends to support demand forecasting and inventory planning.
Data Analytics with Python – NPTEL (Silver Medal)
NPTEL
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show initiative and a drive to learn relevant skills. The 'Startup Showdown' and 'Project exhibition' achievements suggest a competitive spirit and ability to present work. The focus on data analytics and machine learning aligns well with a data-driven culture. However, the lack of professional experience limits the depth of assessment for cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on structured problems and deliver analytical insights. The academic projects demonstrate problem-solving and analytical thinking. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader operational fit.