Back to Developers
Manas Srivastava

Manas Srivastava

Data Analyst

India 0+ yrs exp 81 · Excellent

About

Data Analyst with hands-on experience across internship & freelance analytics projects. Skilled in SQL, Python & Machine Learning, with expertise in data analysis, dashboard development, predictive modeling, and business reporting. Analyzed 700K+ records, achieved up to 95% model accuracy, ranked Top 0.9% among 537,000+ participants in TCS CodeVita, and was selected for the McKinsey Forward Program.

Skills & Expertise (21)

Microsoft Excel Intermediate
6.5/10
0.5
Years Exp
Excel Intermediate
6.5/10
0.5
Years Exp
KPI Reporting Intermediate
5.5/10
0.5
Years Exp
SQL Intermediate
5.5/10
0.5
Years Exp
Exploratory data analysis Intermediate
5.5/10
0.5
Years Exp
XLOOKUP Intermediate
5.5/10
0.5
Years Exp
VLOOKUP Intermediate
5.5/10
0.5
Years Exp
Pivot Table Intermediate
5.5/10
0.5
Years Exp
scikit-learn Intermediate
5.5/10
0.5
Years Exp
Pandas Intermediate
5.5/10
0.5
Years Exp
Python Intermediate
5.5/10
0.5
Years Exp
Query Optimization Beginner
4.5/10
0.5
Years Exp
Statistical Analysis Beginner
4.5/10
0.5
Years Exp
A/B testing Beginner
4.5/10
0.5
Years Exp
Regression Analysis Beginner
4.5/10
0.5
Years Exp
Ensemble Methods Beginner
4.5/10
0.5
Years Exp
Feature Engineering Beginner
4.5/10
0.5
Years Exp
Databricks Beginner
3.5/10
0.5
Years Exp
Power BI dashboards Beginner
3.5/10
0.5
Years Exp
Matplotlib Beginner
3.5/10
0.5
Years Exp
Supervised

Work Experience

Business Strategy Intern

DefineCareer

Jul 2025 - Sep 2025

Built and maintained an Excel-based tracker for 500+ TPO contacts, improving outreach tracking and registration pipeline visibility. Standardized institution records and tracked outreach activities, improving data accuracy and institutional engagement monitoring. Recommended a resume review initiative to strengthen the programme’s value proposition and support student career development.

Data Analyst Intern

Infosys Springboard

Feb 2025 - May 2025

Developed predictive models for customer churn and sales analysis using regression and ensemble techniques, achieving 92.10% and 95.15% accuracy, respectively. Performed data preprocessing by handling 15% missing values through imputation and feature engineering techniques, improving dataset reliability by 7%. Supported data validation, cleaning, and preparation workflows, ensuring analysis-ready datasets for model development and evaluation.

Education

Bachelor of Technology (Mechanical Engineering) - Kamla Nehru Institute of Technology (KNIT)

2022 - 2026 · Afghanistan

Certifications

No certifications added yet

Interested in this developer?

Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 81/100

Profile Overview

Member sinceJun 2026