MANOJ KUMAR G

Data Analyst

Bengaluru, India 0+ yrs exp 81 · Excellent

About

Data Analyst with a Computer Science degree, turning multi-source data into decision-ready insights through SQL-based ETL, data cleaning, statistical hypothesis testing, forecasting, and BI dashboards. Proven track record of owning projects end-to-end — from requirements to live deployment — backed by applied ML research.

Skills & Expertise (34)

NumPy Advanced

6.5/10

0.4

Years Exp

Pandas Advanced

6.5/10

0.4

Years Exp

Python Advanced

6.5/10

0.4

Years Exp

SQL Intermediate

5.5/10

0.4

Years Exp

Power BI Intermediate

5.5/10

0.4

Years Exp

Data Analysis Intermediate

5.5/10

0.4

Years Exp

Data Cleaning Intermediate

5.5/10

0.4

Years Exp

Time-Series Forecasting Intermediate

5.5/10

0.4

Years Exp

Jupyter Intermediate

5.0/10

0.4

Years Exp

scikit-learn Intermediate

5.0/10

0.4

Years Exp

Git Intermediate

5.0/10

0.4

Years Exp

DAX Intermediate

4.5/10

0.4

Years Exp

ETL Intermediate

4.5/10

0.4

Years Exp

SHAP Intermediate

4.5/10

0.4

Years Exp

Deep Learning Intermediate

4.5/10

0.4

Years Exp

XGBoost Intermediate

4.5/10

0.4

Years Exp

PyTorch Intermediate

4.5/10

0.4

Years Exp

TensorFlow Intermediate

4.5/10

0.4

Years Exp

Keras Intermediate

4.5/10

0.4

Years Exp

GitHub Actions Intermediate

4.0/10

0.4

Years Exp

Docker Intermediate

4.0/10

0.4

Years Exp

Flask Intermediate

4.0/10

0.4

Years Exp

OpenCV Intermediate

4.0/10

0.4

Years Exp

Streamlit Intermediate

4.0/10

0.4

Years Exp

SARIMA KPI Microsoft Excel MySql Postgresql CSS HTML JavaScript Root-cause analysis Business Reporting

Work Experience

Research Intern

C3I, PES University

Jan 2026 - May 2026

Built an explainable, multimodal ML pipeline under faculty supervision, integrating price/technical indicators, fundamentals, news sentiment, and macroeconomic events into a 68-feature dataset to predict 10-day price direction for 40 Indian large-cap equities. Engineered a per-stock sentiment-decay feature, statistically tuned via correlation analysis on training data only, avoiding lookahead bias across all 40 stocks. Applied rigorous leakage-prevention and split-integrity checks throughout the pipeline, honestly reporting an ensemble AUC of 0.54 rather than overstating predictive power. Backtested an ensemble model's trading signals against realistic transaction costs and a regime-adaptive confidence threshold, translating probabilities into a ranked, actionable daily stock watchlist. Translated SHAP-based feature importances into plain-English, per-prediction explanations for non-technical end users.

Education

B.Tech, Computer Science - PES University

2023 - 2026 · Afghanistan

Diploma, Computer Science - Dayananda Sagar Institute of Technology

2020 - 2023 · 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 sinceAug 2026

Availability Details

Visa Status

Citizen

Relocation

Depends on Offer

Skills (34)

Click a skill to find developers with the same skill

NumPy Pandas Python SQL Power BI Data Analysis Data Cleaning Time-Series Forecasting Jupyter scikit-learn +24 more

Similar Profiles

Abhineet Verma

Data

Rahul Agarwal

Data Analyst

Saijyothi A

Data Analyst

Amruta Shelke

Data Analyst

View All Developers →