Name: Srishanth reddy

Job Role: Data Scientist & Data Analyst

Experience: Fresher

Address: Greater Noida,India

Skills

Deep Learning 95%
PYTHON 85%
Data Preprocessing 90%
JAVA 85%
Machine Learning 80%

About

About Me

As a data-driven problem solver, I’m fascinated by how numbers tell stories. I specialize in data analysis, visualization, and machine learning, using tools like Python, TensorFlow, and Power BI to turn raw data into insights. From identifying customer churn patterns to predicting early childhood conditions, I enjoy working on projects that merge data science and social impact. My goal is to grow as a data scientist who not only understands models but also the people and decisions behind the data.

  • Profile: DATA SCIENTIST & DATA ANALYST
  • Domain: CSE
  • Education: Bachelor of Engineering
  • Language: English,Telugu, Hindi
  • Frame Works: Scikit-learn, TensorFlow, LangChain, OpenAI
  • Other Skills: Power BI, Docker, Excel, Git, Google Cloud Platform (GCP)
  • Interest: Learning new Technology's, Bike Raiding

0 +   Projects completed

LINKDIN




Education




2023-2027

Bachelor of Engineering

Lloyd institue of Engineering and Technology

CGPA: 7.65

2021-2023

Intermediate

Resonanse junior college

Percentage: 83.8%

Projects

Projects

Below are the sample Data Scientist & Data Analyst , Java , Python Projects.

Autism Detection for Early Childhood Screening

In Autism Detection for Early Childhood Screening, I developed a Support Vector Machine (SVM) model to analyze behavioral and screening data for early autism identification. The project focused on improving early diagnosis accuracy and supporting healthcare professionals through data-driven insights.

Customer Churn Prediction

The Customer Churn Prediction project aimed to help businesses identify customers likely to leave by analyzing transaction patterns and engagement data. Using Random Forest and XGBoost algorithms, I built a predictive model that achieved high accuracy and provided actionable insights for customer retention strategies.

Digit-Recognition-and-Vocalization

This project focuses on detecting handwritten digits using machine learning techniques. It includes preprocessing the MNIST dataset, dimensionality reduction, training models such as Regression and Neural Networks, and deploying a functionality to recognize digits on a screen board and Vocalize the recognized digits.


Glitch-using-C

The Assistant - Your Personal Desktop Assistant made for Windows using C Welcome to The Assistant, your helpful on-boot virtual assistant built in C!

Account-Management-System

Welcome to the Secure Login and Account Management System project! This terminal-based application provides a secure and efficient way to manage user accounts and authentication, implemented in Java. Updated version is done in C++

0 Projects

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Hyderabad, India

Contact Number

+ 91 83282 14109