Pratik Rana

Software Engineer

Chandigarh, Chandigarh, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed AI automation system reducing bug-fixing time by 75%.
  • Engineered churn prediction models improving customer retention by 5%.
  • Created sales forecasting model enhancing inventory management accuracy.
Stackforce AI infers this person is a Data Science and Software Engineering professional with a focus on SaaS and Retail industries.

Contact

Skills

Core Skills

Software DevelopmentInfrastructure EngineeringMachine LearningData Science

Other Skills

AI automationARIMAAWSAWS EC2Academic PublishingAdobe AcrobatAgile MethodologiesAgile Project ManagementAlgorithmsAnalytical SkillsArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)Capital MarketsCausal Inference

About

Hi There! I am Pratik, a 4th-year student, currently pursuing Computer Science & Artificial Intelligence @ Plaksha University in Mohali. I'm passionate about leveraging technology to simplify daily life and make things more accessible. Excited to learn more and collaborate with you! Currently looking for Software Engineering, Data Science and Machine Learning internships/Full-time Roles for 2026.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Wayground (formerly quizizz)

Software Engineer Intern - Infrastructure

May 2025Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Improved page load performance & feature service latency through feature flag cleanup, removing 215 LOC and archiving 155 feature flags
  • Reduced manual bug-fixing by 75% by developing an AI automation system that fixes 120+ production issues/month
  • Achieved 82.5% PR merge rate & saved 40+ developer hrs/wk implementing FastAPI dashboard & team tagged slack alerts
  • Deployed the containerized solution on AWS EC2 with Docker, supporting automated large-scale processing
FastAPIAWS EC2DockerAI automationFeature flag managementSoftware Development+1

Havells india ltd

Software Engineering Intern - ML

Jun 2024Jul 2024 · 1 mo · Noida, Uttar Pradesh, India

  • Developed a sales forecasting model by implementing SARIMA, ARIMA & ETS algorithms that improved the sales prediction accuracy by 12%, aiding in the inventory management.
  • Conducted exploratory data analysis, including plotting time series, checking for stationarity using ADF test, and applying differencing techniques to prepare sales data of 60 SKUs for modelling.
  • Implemented grid search to optimize model parameters, benchmarking to identify the best model for each SKU
  • Collaborated with cross-functional teams to deploy ML models and APIs in the AWS production environment
SARIMAARIMAETSAWSExploratory Data AnalysisMachine Learning+1

Smart lab codes

Data Science Intern

May 2023Jul 2023 · 2 mos · Ludhiana, Punjab, India · On-site

  • Engineered churn prediction models using regression and random forest, improving customer retention by 5%
  • Optimized data pre-processing pipelines, reducing processing time from 5 hours to 2 hours per week
  • Created dashboards visualizing key parameters like CLV, enabling an 8% revenue increase for a retail client
RegressionRandom ForestData VisualizationDashboard CreationData ScienceMachine Learning

Education

Plaksha University

Bachelor of Technology - BTech — Computer Science and Artificial Intelligence

Aug 2022May 2026

M.D.K. Arya Senior Secondary Public School

High School Diploma — PCM

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