You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Malt Strategy
Rajendra Prasad ChepuriRP

Rajendra Prasad Chepuri

Lead Data Scientist

€347/day
Hyderabad, IN
8-15 years
Data science
analyttics
SQL
Machine learning
Business intelligence

Average response time: 1 hour

About Rajendra Prasad

Rajendra Prasad Chepuri — AI & Data Science Leader
I help organizations unlock business value through advanced AI, Generative AI, and data science solutions, specializing in Agentic AI systems and LLM-based applications. With over 12 years of experience, I’ve led cross-functional teams to deliver scalable, cloud-native ML systems across aerospace, healthcare, digital media, and retail.

What sets me apart is my ability to bridge cutting-edge research and real-world impact—from building intelligent proposal agents using RAG and Vertex AI, to driving predictive maintenance, sentiment analysis, and customer intelligence solutions across Fortune 500 environments.

I typically lead or architect:

GenAI & LLM-based products (RAG, BERT, GPT)

Predictive & prescriptive ML models at scale

ML pipelines on AWS, Azure, GCP, Databricks

MLOps frameworks for end-to-end reproducibility and deployment

If you're looking for someone who can drive innovation, lead teams, and translate AI into strategic advantage, let’s connect.

  • English

    Native or bilingual

  • Hindi

    Fluent

Can work on-site
Hyderabad (up to 50km)

Experience

  • TTEC Digital PVT.Ltd
    Lead Data Scientist
    July 2022 - Today (3 years and 11 months)
    Hyderabad, Telangana, India
    Digital Communication
    Projects: Client: Kaiser Permanente

    • Developed and implemented end-to-end data pipeline to ingest, process, prepare, transform and enrich
    structured, unstructured, and semi-structured data in governed manner.
    Python Data science SQL Business intelligence
  • NCR Corporation Pvt Ltd
    Senior/Lead Data Scientist
    February 2020 - May 2022 (2 years and 3 months)
    Hyderabad, Telangana, India
    M2M and IOT analytics
    Projects:
    • Predictive Maintenance for NCR Self-Checkout Machine Components, building a predictive model to identify failures in BNR/BCR component. This solution uses classical machine learning techniques to identify failures in advance thereby better SCO maintenance and reduced lane downtime.
    • Dynamic Incident Management is a predictive solution for identifying and prioritizing incidents assigned in accordance to store usage. This solution helps in resolving issues by quicker service and reducing downtime for the SCO devices.
    • Business Impact Modelling for various internal project evaluations, case study and identifying impact of
    digital connected systems (DCS) Agent for NCR Customers.
    • End to End Data Science Solution, deployment of solution on Azure Machine learning and creating an API Service to integrate with NCR Edge Devices.
    Tools Used: Databricks, Azure ML, GitHub, spark, AWS Deequ, PowerBI, Tableau, MLOps, MLFlow. Statistical Methods: LSTM(Sequential) Deep learning frameworks, XGBOOST, Tree based algorithms, SVM, Association Rules Mining.
    Machine learning SQL Data science
  • Cyient-insights Pvt. Ltd.
    Data Scientist II
    August 2017 - February 2020 (2 years and 6 months)
    Hyderabad, Telangana, India
    M2M and IOT analytics
    Projects: Asset Health Management, Predictive Maintenance.
    • A mining giant got autonomous trucks to transport iron ore in the mining sites, these trucks face malfunctions,
    component failures during the transportation. The main Objective of this project is to identify leading indicators, which could lead to exceptions during the cycle. These exceptions lead to truck stoppage.
    • Study and provide detailed Root Cause Analysis [RCA] for aircraft Engine maintenance activities.
    • predict the work scope sequence which is used by maintenance experts based on the previous maintenance
    history of V2500 engine with respect to each workshop spread across geographies.
    • Predicting the electrical asset health based on the maintenance and operational features including external
    meteorological parameters.
    • Implemented Various Data Science use cases for engineering services clients.
    • Implemented end to end framework in generating data from various sources and deploying solutions on cloud and internal servers integrating using API's and Creating Dashboards for monitoring model
    performance. Tools Used: Azure, Databrics, Python,Spark, PowerBI, Tableau, MLFlow. Statistical Methods: Linear Regression, PyOPT, LSTM, SVM.
Check out Rajendra Prasad's experience

Recommendations

Be the first to recommend Rajendra Prasad

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Signup to reveal

Education

  • Doctor of Philosophy
    Woxsen University
    2025
    PhD, Research Scholar
  • Master of Science in Business Analytics
    Birla Institute of Technology and Science
    2018
    Master of science, Business Analytics
Check out Rajendra Prasad's education

Skill set

Python
Exploratory Data Analysis
Time Series Analysis and Forecasting

Categories