Nitesh Tripathi

Co-Founder

Bengaluru, Karnataka, India11 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in AI and Machine Learning applications
Proven track record in data-driven decision making
Strong leadership in developing scalable forecasting solutions

Stackforce AI infers this person is a Data Science and AI specialist with a focus on SaaS solutions.

Contact

Skills

Core Skills

Project ManagementAi AgentsOptimization ModelsProduct Road MappingArtificial Intelligence (ai)Machine LearningNatural Language Processing (nlp)Applied EconometricsModelingSoftware Design PatternsRefactoringData WarehousingSql

Other Skills

Algorithm DesignAlgorithmsCCustomer DataData AnalysisData MiningData ScienceData StructuresDebuggingDeep LearningDistributed SystemsDynamic PricingEconometric ModelingFastAPIForecasting

Experience

11 yrs

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 9 mos

Current Experience

Vaani research labs

Co-Founder

Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India

Project ManagementSoftware DesignAI AgentsLarge Language Models (LLM)Large Language Model Operations (LLMOps)Algorithm Design

Hypersonix inc.

4 roles

Staff Data Scientist (level II)

Oct 2022 – Sep 2024 · 1 yr 11 mos

Optimization ModelsProduct Road MappingModelingCustomer Data

Staff Data Scientist

Apr 2022 – Oct 2022 · 6 mos

1. Forecast Monitoring Engine
Developed and deployed this to monitor the ongoing forecast runs, this helped us to continuously
keep track of forecast performance on our customers data.
2. Forecast Engine Improvements:
forecasting capability for just introduced/to be introduced products
Improved Reconciliation strategy
Feature to compute confidence scores for forecast numbers
3. Basic Inventory simulation engine

Optimization ModelsProgrammingSoftware DesignArtificial Intelligence (AI)Data MiningSoftware Development+4

Senior Data Scientist

Promoted

Apr 2021 – May 2022 · 1 yr 1 mo

1. Hierarchical Forecasting Engine:
Lead team of 2 data scientists/analysts and software engineers to deliver an engine which support
forecasting at scale for retail customers.
DS activities included but not limited to -- researching and experimenting with timeseries/ML based
forecasting models, designing timeseries-type identification algorithms, designing forecast
reconciliation strategies
Software development activities (included but not limited to) -- Designing low level architecture using
oops, design DB table schema, API endpoints design
2. Brand Names Normalization using NLP and heuristics approach.

Optimization ModelsMachine LearningNatural Language Processing (NLP)Object-Oriented Programming (OOP)Python (Programming Language)Programming+12

Data Scientist

Mar 2020 – Apr 2021 · 1 yr 1 mo

1. Developed and deployed different Elasticity Models
2. Worked on extracting complement and substitutes from sales data
3. Worked on automatic peak detection algorithm in given line graph

Optimization ModelsApplied EconometricsPython (Programming Language)ProgrammingArtificial Intelligence (AI)Software Development+3

Thoughtspot

Member Of Technical Staff

Apr 2019 – Mar 2020 · 11 mos · Bengaluru Area, India

To make ThoughtSpot faster and less error-prone, We made all the metadata storable entities Immutable using the builder design pattern. This project impacted a huge part of codebase and thus required lot of refactoring. I learned a lot about design patterns and software refactoring in this project.

Software Design PatternsRefactoringProgrammingMultithreadingSoftware DesignJava+3

Bewgle

Machine Learning Research Intern

Oct 2018 – Dec 2018 · 2 mos · Bengaluru Area, India

Worked on aspect-based sentiment analysis for product reviews. Implemented the model in Python and the work is deployed in the Product.

Natural Language Processing (NLP)Python (Programming Language)ProgrammingSentiment AnalysisModeling

Indian institute of science (iisc)

Research Student

Jul 2016 – Apr 2019 · 2 yrs 9 mos

Worked on Aspect extraction and Aspect based sentiment analysis for product reviews in NLP area. (blog link: https://bit.ly/2wXcG4U)
Worked on some interesting problems of computational geometry. (paper link : https://bit.ly/2IQaHCk)

ProgrammingModeling