Tejas Vish

Junior Data Analyst

Greater Noida, Uttar Pradesh 0+ yrs exp 81 · Excellent

About

Detail-oriented and analytical fresh graduate with hands-on project experience collecting, cleaning, and organizing data from multiple sources to identify trends, patterns, and business insights. Skilled in writing SQL queries, building Power BI dashboards and visualizations, and validating data accuracy to maintain data integrity. Comfortable with Python for analysis and Excel (pivot tables, VLOOKUP/XLOOKUP, formulas, charts), with a track record of documenting analysis and presenting findings clearly. Strong communicator experienced coordinating with 120+ students in a mentoring capacity, and confident working independently against deadlines.

Skills & Expertise (27)

Python Intermediate

7.5/10

0.5

Years Exp

SQL Intermediate

7.5/10

0.5

Years Exp

Data Cleaning Intermediate

6.5/10

0.5

Years Exp

Pandas Intermediate

6.0/10

0.5

Years Exp

NumPy Intermediate

5.5/10

0.5

Years Exp

Power BI Intermediate

5.5/10

Regression Intermediate

5.0/10

0.5

Years Exp

Charts Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

Hypothesis Testing Intermediate

5.0/10

0.5

Years Exp

Data Validation Intermediate

5.0/10

0.5

Years Exp

Basic Statistics Intermediate

5.0/10

0.5

Years Exp

Seaborn Beginner

4.5/10

JavaScript Beginner

4.5/10

Matplotlib Beginner

4.5/10

Index-match Beginner

4.0/10

XLOOKUP Beginner

4.0/10

VLOOKUP Beginner

4.0/10

integrity checks Jupyter EDA MS Excel Postgresql Google Sheets Formulas Pivot Tables

Work Experience

Python & SQL Instructor (Peer Mentor)

Galgotias College of Engineering & Technology

Jan 2026 - Apr 2026

Coordinated with 120+ students across 2 sections, clarifying discrepancies in understanding and adapting sessions to keep reporting/learning on track — direct experience in cross-functional coordination and communication. Delivered structured, recurring sessions on Python and SQL (including joins and data querying), translating technical logic into clear, business-friendly explanations for a non-technical audience while owning session planning end-to-end.