Sai Neha Ramireddy profile photo 1 on Tal

Sai Neha Ramireddy

Prepinsta Placement Preparation at PrepInsta

Pulivendla

3+ years of work experience

EchoBrains
Jan 20265 mosMay 2026

Banglore

Future Interns
Dec 20252 mosJan 2026

Learned Creating Dashboards, Data Cleaning, Analyzing Data
Jan 20253 mosMar 2025

• Tools: Python, pandas, Matplotlib / Seaborn, Jupyter Notebook • Developed a predictive machine learning model to identify customers likely to churn using the Telco customer dataset, improving churn detection accuracy • Performed data cleaning, exploratory data analysis, and feature engineering to prepare the dataset for modeling, addressing class imbalance and missing values. • Visualized key insights using Python plotting libraries to communicate factors most associated with churn (e.g., contract type, tenure, monthly charges)
PrepInsta
Jun 20233 yrs 1 moJun 2026

Online

Sai’s AI Stack

Semantic Kernel
Semantic Kernel
Smithery
Smithery
Sourcegraph Cody
Sourcegraph Cody
Supabase
Supabase
Tabnine
Tabnine
Together AI
Together AI

Education

Bachelor's degree, Computer Engineering

Sri Venkateswara College of Engineering and Technology, Chittoor

20224 yrs2026

High School Diploma, Mathematics

sri chaitanya junior college

20202 yrs2022

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Sai Neha Ramireddy on Tal

Headline

Prepinsta Placement Preparation at PrepInsta

About

I am a Computer Science (Data Science) graduate with hands-on experience in Python, SQL, Power BI, and data analysis. I enjoy working with data to uncover meaningful insights, solve problems, and build practical solutions. During my internships and training, I gained experience in data cleaning, preprocessing, exploratory data analysis (EDA), data visualization, and machine learning using Python, Pandas, NumPy, and Scikit-learn. I have also worked with Matplotlib, Seaborn, SQL, and Power BI to analyze data and create informative dashboards. My projects include an E-commerce Sales Dashboard using Power BI and SQL, Customer Churn Analysis using Python, and a MERN-stack e-learning platform with dashboards and database optimization. I am currently looking for opportunities as a Data Analyst or Data Scientist, where I can apply my analytical, technical, and problem-solving skills while continuing to learn and grow in the field of data.

Location

Pulivendla

AI stack

Semantic Kernel

Smithery

Sourcegraph Cody

Supabase

Tabnine

Together AI

Work experience

Data science with python at EchoBrains, Jan 2026 - May 2026 · 5 mos, Banglore

Data Analyst at Future Interns, Dec 2025 - Jan 2026 · 2 mos, Learned Creating Dashboards, Data Cleaning, Analyzing Data

Data Science Intern at Academor company, Jan 2025 - Mar 2025 · 3 mos, • Tools: Python, pandas, Matplotlib / Seaborn, Jupyter Notebook • Developed a predictive machine learning model to identify customers likely to churn using the Telco customer dataset, improving churn detection accuracy • Performed data cleaning, exploratory data analysis, and feature engineering to prepare the dataset for modeling, addressing class imbalance and missing values. • Visualized key insights using Python plotting libraries to communicate factors most associated with churn (e.g., contract type, tenure, monthly charges)

Prepinsta Placement Preparation at PrepInsta, Jun 2023 - Jun 2026 · 3 yrs 1 mo, Online

Education

Bachelor's degree, Computer Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor

High School Diploma, Mathematics, sri chaitanya junior college

Sai Neha Ramireddy - Data science with python in Pulivendla | Tal