Pritam Das

Data Analyst

Kolkata, West Bengal 80 · Excellent

About

Detail-oriented B.Tech graduate in Electrical Engineering (CGPA: 8.33) with working proficiency in Excel, SQL, and Python, built through self-directed analytics projects covering data cleaning, validation, and reporting. Experienced in taking raw, unfamiliar datasets, structuring them into clean and reliable inputs, and drawing out trends and patterns that translate into clear, actionable business reporting. Comfortable working independently, learning new tools and datasets quickly, and communicating findings through simple, well-documented visuals and summaries for both technical and non-technical audiences. Looking to bring this analytical foundation and reporting discipline to a data analytics team in a remote, fast-paced setting.

Skills & Expertise (33)

Excel Advanced

8.0/10

Years Exp

Verbal Communication Advanced

8.0/10

Years Exp

Written Communication Advanced

8.0/10

Years Exp

Cross-Functional Collaboration Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Python Intermediate

6.0/10

Years Exp

Microsoft Excel Independent Work SQL databases Pandas NumPy Matplotlib Seaborn Google Sheets Microsoft Office ChatGPT Claude Gemini Adaptability Project ownership Remote Collaboration Business Reporting Data Validation Filtering Aggregate Functions Joins Formulas Charts XLOOKUP VLOOKUP Pivot Tables

Work Experience

Team Leader

Capstone Project

Present - Present

Coordinated a six-member engineering team across embedded hardware, sensor design, and IoT connectivity workstreams, planning and tracking the project from initiation through final delivery. Evaluated multiple technical approaches using available data and constraints before selecting the design direction, rather than following a single prescribed method. Owned the project from initiation to final delivery — planning, implementation, testing, and documentation — on time and within scope. Identified gaps in the initial approach mid-project by reviewing test data, proposed an alternative solution, and drove it to resolution rather than escalating without a recommendation. Communicated technical progress and findings clearly to faculty stakeholders through structured documentation and presentations.

Analytical Projects

Blinkit Dataset

Present - Present

Collected and cleaned 8,500+ unfamiliar transaction records, standardizing formats and resolving inconsistencies before analysis. Analyzed trends and patterns across product categories, outlets, and regions, translating raw data into business insights and visual reports a non-technical audience could act on. Validated data accuracy and cross-checked outputs to maintain data integrity before presenting conclusions.

SQL-Based Business Reporting

Retail Dataset

Present - Present

Wrote SQL queries to retrieve and manipulate structured business data, surfacing trends in revenue, customer behaviour, and profitability. Cross-referenced query outputs against source data to verify accuracy and documented the analysis process for reuse in future reporting.