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.

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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

Average Tenure

Current Experience

Wayground (formerly quizizz)

Software Engineer Intern - Infrastructure

May 2025 – Jul 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 2024 – Jul 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 2023 – Jul 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