Open to opportunities

Arpita Mohapatra

@arpitamohapatra1

Message

I turn customer data into actionable dashboards and machine learning solutions.

India

Message

What I'm looking for

I'm looking for a data analytics or machine learning role where I can turn raw data into actionable insights, build dashboards and AI-driven solutions, and continue developing through hands-on project work.

I've analyzed 10,000+ customer records at Rankguru Solution Technology, improving data quality by 15% and reducing report preparation time by 30% using SQL, Python, Pandas, and Excel.

I build interactive Power BI dashboards for sales, revenue, customer retention, and other business KPIs, helping stakeholders monitor performance through real-time, data-driven insights. My projects include customer shopping behavior analysis, ASD prediction deployed with Streamlit, and soybean seed classification using CNNs and EfficientNet transfer learning.

Through my AIML internship at CTTC, I applied computer vision, NLP, deep learning, classification, and regression techniques to real-world datasets.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Rankguru Solution Technology Private Limited

Jan 2026 - Mar 2026 (2 months)

Analyzed 10,000+ customer records using SQL, Python (Pandas), and Excel to clean, validate, and transform data, improving data quality by 15% and reducing report preparation time by 30%. Developed interactive Power BI dashboards tracking 10+ key business KPIs such as sales, revenue, and customer retention.

SQL Python Pandas Excel Power BI Data Cleaning Data Validation data transformation Dashboard Development KPI Tracking

AIML Intern

Central Tool Room & Training Centre (CTTC)

May 2025 - Jun 2025 (1 month)

Applied Computer Vision, NLP, and Deep Learning techniques on real-world datasets through hands-on project work. Implemented and evaluated ML algorithms including classification and regression models on industry-standard datasets (Iris, AutoMPG) and built a deep learning model for face recognition.

Computer Vision NLP Deep Learning Machine Learning Classification regression Face Recognition