Hello, I am

Anup Batakurki.

1

Excel Project

3

PowerBI Projects

1

SQL Project

1

Python Project

About Me

Hey there! I'm Anup Batakurki, and I'm all about turning numbers into stories that make sense. With a Bachelor's in Computer Applications and an impressive 8.47 gpa to boot, plus a stint at the Codebasics Data Analytics Boot-camp and Google's Advance Data Analytics course, I've become a pro at Python, Power BI, Excel, Tableau, Machine learning and SQL.

Highly motivated and detail-oriented Data Science Analyst with a BCA (8.47 GPA). Completed Codebasics Data Analytics Boot camp 2.0 and Google's Advanced Data Analytics course. Experienced through internships at Quantium, TCS, Accenture, AtliQ Technologies, and MeriSKILL. Proficient in Advanced Excel, Power BI, Tableau, Python, SQL, Machine Learning, and Statistical Analysis. Skilled in data collection, business needs identification, and predictive modelling. Proven ability to collaborate with teams and deliver insights driving revenue growth and efficiency. Actively seeking roles in Data Analysis, Business Analysis, or Data Science.

Key Skills

Python

SQL

Effective Communication

Tableau

Machine learning

Statistical Analysis

My Projects

My Experience

MeriSKILL – Data Analyst Intern. - Feb 2024

• Completed a 45-day internship at MeriSKILL, handling Sales Analytics and HR Analytics projects, earning an 'A' grade in SQL, Python, and Power BI, and dashboard led to increase in sales by at least 10%.

AtliQ Technologies - Data Analyst Intern - April 24

•Conducted variance analysis and debugged SQL queries to ensure 100% data extraction accuracy from MySQL Workbench, improving data reliability.

•Leveraged Power Query to normalize HR datasets, ensuring data integrity and security, and identified key trends.

•Developed and presented a Power BI dashboard for an insurance company, contributing to a 20% revenue increase by providing actionable insights.

Hunar Intern – Data Science Intern - Jun 24

•Performed Exploratory Data Analysis (EDA) on a food dataset using NumPy and Pandas, uncovering key insights for decision-making.

•Built and evaluated machine learning models including linear regression for house price prediction (R² = 54.42%) and k-nearest neighbours for breast cancer classification (94.74% accuracy).

•Developed an image classification model using Convolutional Neural Networks (CNN) in TensorFlow, achieving 94.82% accuracy.

Freelancer- Present

Guided college students in developing Data Analyst and Data Science projects with a strong emphasis on real-world applications.
Taught core Data Science concepts, including data analysis, model building, and machine learning techniques.
Assisted students in thesis development, including end-to-end deployment of data-driven solutions.
Successfully managed and delivered two full-scale projects, overseeing the entire process from concept to deployment.