Deep Prasad

Data Scientist

Mumbai, India4 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Achieved 87% accuracy in fake review detection.
  • Improved customer segmentation accuracy by 15%.
  • Top 4% on Kaggle leaderboard for CO2 emissions prediction.
Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Data Analytics.

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Skills

Core Skills

Data AnalysisData VisualizationMachine LearningPower ManagementEmbedded Systems

Other Skills

Analytical ModelsAnalytical SkillsAnalyticsArtificial Intelligence (AI)Business RequirementsCluster AnalysisCommunicationData ManipulationData ModelingDatabase QueriesDatabasesDeep LearningEmbedded Software ProgrammingExcelExploratory Data Analysis

About

As a Programmer Analyst at Cognizant, I apply machine learning techniques using Python to work on projects such as customer segmentation, fake review detection, and sales prediction. I also leverage data analytics tools such as Power BI and SQL to automate reports, manipulate data, and provide insights for business teams. I have successfully improved the accuracy, efficiency, and performance of various models and solutions, achieving a 15% increase in accuracy for customer segmentation, a 87% accuracy rate for fake review detection, and a 23.56% improvement in accuracy for sales prediction. In addition, I am an Engage AI-vocate at Engage AI, a company that champions human-AI collaboration for relationship-building on LinkedIn. I am passionate about embracing AI as a copilot in breaking the ice and deepening relationships with prospects on LinkedIn. I am excited to be at the forefront of cutting-edge AI technology and to contribute to the bigger vision of Engage AI. I am also a Kaggle Expert, having participated in various competitions and challenges, and achieved a position among the top 4% on the leaderboard for predicting CO2 emissions in Rwanda. I graduated from CV Raman College of Engineering with a Bachelor of Technology in Electrical and Electronics Engineering in May 2022. I am proficient in various data science tools and techniques, including machine learning algorithms, statistics, Arduino IDE, and hardware. I am a highly analytical and detail-oriented data scientist with a keen interest in solving real-world problems using data and AI.

Experience

4 yrs 4 mos
Total Experience
2 yrs 3 mos
Average Tenure
2 yrs 11 mos
Current Experience

Fractal

Data Scientist

Sep 2025Present · 9 mos · Mumbai, Maharashtra, India · Remote

Cognizant

5 roles

Decision Science Analyst

Apr 2025Sep 2025 · 5 mos

Associate

Oct 2024Present · 1 yr 8 mos

  • Successfully prepared and automated weekly status reports for the project manager in Power BI, resulting in a 20% reduction in reporting time
  • Developed Python scripts to manipulate and clean data, prepare it for analysis, and generate visualizations.
  • Used Python to perform data analysis and exploratory data analysis (EDA) on large datasets, identifying patterns
  • and trends on projects like Sales Prediction, and cutomer segmentation.
  • Designed and developed complex data analytics dashboards in Power BI, translating intricate data sets into
  • visually appealing representations, leading to a 30% improvement in data comprehension.
  • Presented data science findings, including interactive dashboards and compelling stories on the Power BI cloud
  • platform, resulting in a 25% increase in stakeholder engagement and understanding.
Power BIPythonData AnalysisData Visualization

Programming Analyst

Jul 2023Present · 2 yrs 11 mos

  • Successfully prepared and automated weekly status reports for the project manager in Power BI, resulting in a 20% reduction in reporting time
  • Applied machine learning models techniques using Python to work on projects such as customer segmentation, and achieved a 15% increase in accuracy compared to previous methods.
  • Leveraged machine learning algorithms and techniques to develop a robust fake review detection system, achieving an accuracy rate of 75% using Naive Bayes and 87% using Random Forest Classifier.
  • Applied machine learning models to predict sales for a pharmaceutical company, resulting in a 23.56% improvement in accuracy compared to previous methods.
  • Utilized Spark framework for big data processing and analysis, enabling efficient handling of large-scale datasets and reducing processing time by 40%.
  • Designed and developed complex data analytics dashboards in Power BI, translating intricate data sets into visually appealing representations, leading to a 30% improvement in data comprehension.
  • Presented data science findings, including interactive dashboards and compelling stories on the Power BI cloud platform, resulting in a 25% increase in stakeholder engagement and understanding
PythonMachine Learning AlgorithmsPower BISQL ServerExcelMachine Learning+1

Programmer Analyst Trainee

Jul 2022Aug 2023 · 1 yr 1 mo

Project Intern

Jan 2022Jun 2022 · 5 mos

  • Equipped with comprehensive training in an array of essential tools, including SQL Server, SSIS, SSAS, SSRS, Power BI, and Azure, empowering me with a diverse skill set for data management and analysis.
  • Skillfully harnessed the power of SSIS to automate data ingestion, seamlessly handling tasks like manipulation, cleaning, and efficient storage at the backend, streamlining the data workflow.
  • Skills Acquired: Leadership, Team Management, understanding Project Requirements, Delivering on
  • time
PythonSQLData AnalysisMachine Learning AlgorithmsMachine Learning

Kaggle

2 roles

Kaggle Expert

Aug 2023Jul 2025 · 1 yr 11 mos · India · Remote

  • Predicted CO2 Emissions in Rwanda and achieved a position among top 4% on the leaderbord Playground S3E20

Kaggle Active Contributor

Aug 2023Aug 2023 · 0 mo · India · Remote

Engage ai - generative ai for linkedin

Engage AI-vocate

Jul 2023Present · 2 yrs 11 mos · India · Remote

  • Engage AI champions human-AI collaboration for relationship-building on LinkedIn. I'm proud to be part of the bigger vision as an Engage AI-vocate, embracing AI as a copilot in breaking the ice and deepening relationships with prospects on LinkedIn. Truly excited to be at the forefront of cutting-edge AI technology!

Odisha power transmission corporation limited

Internship Trainee

Aug 2021Sep 2021 · 1 mo · Bhubaneswar, Odisha, India · Hybrid

  • I have trained at Power Training Centre a govt. of India Undertaking
  • Transmission and Distribution
  • Saw Real-time operation of Transformers and other components present Power House
Power TransmissionPredictive ModelingPower Management

Pantech prolabs india pvt ltd (pantech solutions)

Internship Trainee

Jun 2021Jul 2021 · 1 mo · Andhra Pradesh, India · Remote

  • I was trained in Embedded System Design
  • Used a lot of Hardware like Node MCU, Arduino, Microcontrollers
  • Theoretically Understanding
Embedded Software ProgrammingHardwareEmbedded Systems

Education

CV Raman College of Engineering (CVRCE), Bhubaneswar

Bachelor of Technology - BTech — Electrical and Electronics Engineering

Aug 2018May 2022

Bethany Mission School - Raiganj

High School Diploma — Computer Science

Apr 2016May 2018

Techno India Group Public School

Boards/Matriculation(10th) — General Studies

Apr 2006Apr 2016

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