Harshitha N

Data Science / Machine Learning

Bengaluru 0+ yrs exp 81 · Excellent

About

Data science graduate with hands-on internship experience building and evaluating machine learning models (Decision Tree, Random Forest, XGBoost, Logistic/Linear Regression) and a deep-learning OCR pipeline. Comfortable across the full workflow — EDA, feature engineering, model building, and evaluation — with 5 independent projects spanning classification, regression, time series, and computer vision. 9.32 CGPA in Big Data & Cloud Computing; certified in Data Science (DataMites) and Azure AI Fundamentals. Looking to bring analytical rigor and ML skills to an entry-level Data Science / Machine Learning role.

Skills & Expertise (26)

Python Intermediate

7.5/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Tesseract OCR Intermediate

6.0/10

Years Exp

OpenCV Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

Classification Intermediate

6.0/10

Years Exp

XGBoost Intermediate

6.0/10

Years Exp

Random Forest Intermediate

6.0/10

Years Exp

Decision Tree Intermediate

6.0/10

Years Exp

Logistic Regression Intermediate

6.0/10

Years Exp

Linear Regression Intermediate

6.0/10

Years Exp

Deep Learning Intermediate

5.5/10

Years Exp

CNN Intermediate

5.5/10

Years Exp

NLP Intermediate

5.5/10

Years Exp

Time Series Forecasting Intermediate

5.5/10

Years Exp

Demand Forecasting Intermediate

5.5/10

Years Exp

Clustering Intermediate

5.5/10

Years Exp

SVM Intermediate

5.5/10

Years Exp

KNN Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Work Experience

Data Science Consultant Intern

Rubixe

Dec 2025 - Apr 2026

Partnered with cross-functional teams to translate client requirements and business challenges into applied data science solutions. Built and evaluated classification models (Decision Tree, Random Forest, XGBoost), achieving 95% model performance on the project dataset. Developed predictive regression models (Logistic and Linear Regression) that strengthened business forecasting, applying feature engineering and statistical analysis to support data-driven decisions.

Software Intern

Bharat Electronics Limited

Mar 2025 - Jun 2025

Engineered a multilingual OCR pipeline (Tesseract, OpenCV) for scanned document digitization, reaching 82% text-extraction accuracy through advanced image preprocessing. Automated searchable-PDF generation and layout-preserving document workflows, reducing manual effort in information retrieval and improving document accessibility.