Pranay Midathana

Product Engineer

Mumbai, Maharashtra, India3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed innovative Chrome extension for data visualization.
Optimized TA allocation using advanced algorithms.
Strong foundation in Computer Science from IIT Bombay.

Stackforce AI infers this person is a skilled Quantitative Researcher with a focus on data visualization and algorithm optimization.

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Skills

Core Skills

Chrome ExtensionsDatabase DesignAlgorithms

Other Skills

MongoDBElasticsearchopen aiComputer Systems AnalysisLinear RegressionCompiler ConstructionObject DetectionMATLABDiscrete MathematicsData InterpretationData StructuresComputational AnalysisComputer NetworkingComputational MathematicsCryptanalysis

Experience

3 mos

Total Experience

3 mos

Average Tenure

Current Experience

Sprinklr

Product Engineer

May 2024 – Jun 2024 · 1 mo · Gurugram, Haryana, India · On-site

Developed a Chrome extension for the Sprinklr DB interface to visualize data differences without executing update queries on the original database, thereby preventing system inefficiencies caused by incorrect update queries
Designed a user-friendly UI to simulate update queries, and implemented json difference to compare data states
Integrated an AI feature that converts natural language inputs into MongoDB & Elasticsearch scripts

Chrome ExtensionsMongoDBElasticsearchDatabase Design

Prof bhaskaran raman

Optimal TA Allocation R & D

Aug 2023 – Nov 2023 · 3 mos

Implemented a course-to-student matching system using the Gale-Shapley algorithm for stable matching and Edmonds algorithm for maximum weight matching, optimizing TA allocation in a bipartite graph
Improved course-to-student matching by integrating mutual priorities and experimenting with weight distributions
Tested code with historical data, finding that random weight distributions outperformed previous allocations

Algorithms