Anushka

Data Science Analyst

Roorkee, India 0+ yrs exp 81 · Excellent

About

Published ML researcher (Springer, 2025) and Data Science Analyst building ML pipelines, NLP systems, and tableau dashboards for government-scale apps. My Tech stack includes Python, scikit-learn, TensorFlow, and Flask deployment.

Skills & Expertise (24)

Python Intermediate

6.5/10

0.5

Years Exp

NumPy Intermediate

6.5/10

0.5

Years Exp

Pandas Intermediate

6.5/10

0.5

Years Exp

Jupyter Intermediate

6.0/10

0.5

Years Exp

SQL Intermediate

6.0/10

0.5

Years Exp

scikit-learn Intermediate

6.0/10

0.5

Years Exp

Git Intermediate

6.0/10

0.5

Years Exp

Tableau Intermediate

6.0/10

0.5

Years Exp

EDA Intermediate

5.5/10

0.5

Years Exp

Flask Intermediate

5.5/10

0.5

Years Exp

ETL Pipelines Intermediate

5.5/10

0.5

Years Exp

Keras Intermediate

5.5/10

0.5

Years Exp

TensorFlow Intermediate

5.5/10

0.5

Years Exp

Deep Learning Intermediate

5.0/10

0.5

Years Exp

Classification Intermediate

5.0/10

0.5

Years Exp

Feature Engineering Intermediate

5.0/10

0.5

Years Exp

Statistical Analysis Intermediate

5.0/10

0.5

Years Exp

A/B testing Intermediate

5.0/10

0.5

Years Exp

Regression Intermediate

5.0/10

0.5

Years Exp

CNNs Intermediate

5.0/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

REST APIs Intermediate

5.0/10

0.5

Years Exp

C/C++ Beginner

3.5/10

0.5

Years Exp

Work Experience

AI/ML Intern

Sutram Solutions

Jun 2025 - Aug 2025

Built and evaluated 6+ end-to-end ML pipelines for NLP and image classification across 3 project domains; systematic hyperparameter tuning (GridSearchCV, 120+trials) improved model F1 scores by 15% on datasets with 50K+ samples. Automated ETL preprocessing for 5,000+ records using Python (Pandas, NumPy), reducing data cleaning time by 15% and cutting research reporting turnaround from 4 days to under 3 days, accelerating sprint delivery by 1 full cycle.

Data Analyst Intern

NIC (National Informatics Centre)

Jan 2025 - Mar 2025

Analyzed 10K+ helicopter booking records using Python and Structured Query Language to identify demand trends and peak-hour patterns, improving scheduling efficiency by 20% and reducing manual reporting effort by 30%. Developed interactive Tableau dashboards for real-time operational monitoring, cutting manual reporting effort by 30%, successfully deployed NLP-based PDF summarization chatbot using Flask, boosting response accuracy by 18%.