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Data Science with less than a year in Data Analysis & Web Development
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Assessing your cultural and operational fit
B.Tech graduate in Computer Science and Engineering with internship experience and strong analytical, problem-solving, and technical skills. Proficient in Python, SQL, Excel, and Power BI, with hands-on experience in data analysis, database management, reporting, and application development through academic and real-world projects. Skilled in identifying problems, developing structured solutions, and working collaboratively to achieve project objectives. Seeking opportunities to apply my technical and analytical capabilities in a professional environment while contributing to organizational growth and success.
Mgm's College Of Engineering
BTech · Computer Science And Engineering
August 1, 2020 – June 30, 2024
Sana High School
Class 10th MSBSHSE
N/A – May 31, 2018
Sana Junior College
Class 12th MSBSHSE
N/A – May 31, 2020
TLogic Software Solutions
Full-Stack Web Developer Intern
February 1, 2024 – April 1, 2024
Nanded, Maharashtra, India
Hospital Management System
July 1, 2025 – August 1, 2025
To develop a centralized Hospital Management System for efficient handling of patient, doctor, and appointment data, improving data organization and reducing manual effort. Designed and enforced the system using Microsoft Access. Created and linked 4 relational tables (Appointment, Department, Doctor, Patient) to maintain structured data. Produced 4+ interactive forms for efficient data entry and user-friendly interaction. Implemented dropdown menus and lookup fields to ensure 100% controlled and accurate data entry. Resolved data redundancy and inconsistency issues by establishing proper table relationships. Automated reporting process, reducing manual effort by 50%+ and ensuring quick access to appointment details.
View ProjectFinancial Performance Analysis Project
June 1, 2025 – June 1, 2025
Figure out over 2,000 domestic and international e-commerce transactions to calculate total revenue and identify an 82/18 revenue split between domestic and international markets, emphasizing strong local market dominance. Analyzed 2,000+ transactions across multiple months, identifying seasonal revenue peaks and off-season declines for demand forecasting. Calculated AOV for domestic and international segments, identifying a higher domestic AOV and uncovering opportunities for targeted upselling. Proposed 3 strategic recommendations focused on regional expansion, upselling, and promotional campaigns to improve revenue stability.
SQL Project on Library Dataset
April 1, 2025 – April 1, 2025
Applied a relational database comprising 7+ normalized tables with primary and foreign key relationships to ensure data integrity. Imported and validated 1,000+ records from Excel into MySQL using the Table Data Import Wizard. Created 10+ SQL queries using JOINs, subqueries, aggregate functions, and filtering conditions to generate business insights. Generated branch-level lending reports by analyzing hundreds of loan records using GROUP BY and aggregate functions.
Power Bi Report on Adidas Sales Analysis
February 1, 2025 – March 1, 2025
Executed end-to-end sales performance analysis by evaluating key business metrics (total sales, profit, average price per unit, units sold) to derive actionable insights for strategic decision-making. Evaluated performance across 6+ retailers, identifying the highest-profit contributors and their impact on overall sales. Examine sales trends across 4 time dimensions (year, quarter, month, day) to identify growth patterns and seasonal fluctuations. Analysed sales distribution across product categories, revealing men's street footwear as the top seller (200M+) followed by women's apparel (150M+), guiding inventory planning and gender-specific promotions. Ranked top 5 cities by profitability (Charleston, New York City, San Francisco, Miami, Portland), uncovering location-specific trends that informed regional marketing strategies and resource allocation.
View ProjectData Analysis
Unknown
June 1, 2026 – Present
Python Project for Data Science
IBM
June 1, 2026 – Present
Data Science Methodology
IBM
June 1, 2026 – Present
What is Data Science?
IBM
June 1, 2026 – Present
Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
Python Programmer
Infosys
June 1, 2026 – Present
Tools for Data Science
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying data analysis to different domains (hospital management, e-commerce, library data, sales). The certifications from IBM and Infosys indicate a proactive approach to learning and skill development, which aligns with a growth-oriented culture. The full-stack web development internship, while not directly data science, shows adaptability and a willingness to explore different technical areas. However, the overall experience level is entry-level, which might require significant mentorship in a senior data science role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work collaboratively in a team environment (GitHub experience) and has experience in project coordination and problem-solving. The project descriptions indicate an analytical approach to identifying issues and proposing solutions. However, the experience is primarily academic and internship-level, suggesting a need for further development in real-world operational contexts.