Vamsi Krishna Philkana

AI Researcher

India7 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in optimizing machine learning solutions for business efficiency.
Proven track record in demand forecasting and payout optimization.
Strong foundation in deep learning and natural language processing.

Stackforce AI infers this person is a Data Scientist specializing in machine learning and optimization within the SaaS and logistics industries.

Contact

Skills

Core Skills

Machine LearningData Science

Other Skills

Apache SOLRCCNNCNN for Text ClassificationComprehensive AnalysesComputer VisionData Driven SolutionsDeep LearningDemand ForecastingExperiment DesignsExploratory Data AnalysisHTMLLLMs and Agentic AILarge Language Models (LLM)Linux

About

Vamsi Krishna is a skilled Data Scientist with a strong foundation in machine learning, deep learning, optimization, and natural language processing (NLP). He excels in using advanced algorithms to drive business efficiencies and improve decision-making processes. With a solid technical proficiency in Python, SQL, Pyspark, TensorFlow, Sklearn, and cloud platforms like AWS and Snowflake, Vamsi is adept at developing and deploying scalable machine learning solutions. Vamsi holds a Post Graduate Program in Machine Learning from Plaksha Tech Leaders Fellowship and a Bachelor of Technology in Computer Science from LNM Institute of Information Technology.

Experience

7 yrs 1 mo

Total Experience

2 yrs 4 mos

Average Tenure

4 yrs 1 mo

Current Experience

Swiggy

2 roles

Senior Data Scientist

Apr 2025 – Present · 1 yr 1 mo

Driver Experience and Payouts

Data Scientist 2

Mar 2022 – Mar 2025 · 3 yrs

Currently a member of Swiggy's Driver and Delivery Team, focusing on optimizing payout efficiency, demand forecasting, and enhancing the driver experience on the platform.
Led and contributed to various projects under the overarching goal of ensuring the "Right number of Delivery Agents at the Right Places, at the Right Time, and at the Right Cost." These projects have involved:
1. Deep Learning
2. Reinforcement Learning
3. LLMs and Agentic AI
4. Demand Forecasting
5. ML Opex
6. Comprehensive Analyses, Experiment Designs and Hypothesizing Data Driven Solutions

Deep LearningReinforcement LearningLLMs and Agentic AIDemand ForecastingML OpexComprehensive Analyses+4

Arcesium

Machine Learning Engineer

Aug 2021 – Feb 2022 · 6 mos · Hyderabad, Telangana, India

Delhivery

3 roles

Data scientist 1

Feb 2020 – Aug 2020 · 6 mos

Associate Data Scientist

Jul 2018 – Feb 2020 · 1 yr 7 mos

Mapper-
Map localities to it's optimal last mile facility inorder to minimize the cost incurred by the company wrt misroutes, manpower and facility distribution.
Contribution:
► Driving a grid-based solution using non-parametric spatial probability modeling of the facilities leveraging features like distance, geographical inhibitions and historical dispatches.
► Simulated two auto-correction processes by optimizing routing decisions using address intelligence
and historical facility performance, which has had an immense business impact with 25% reduction
in misroutes.
Address Type Prediction-
To predict the type of address(residential/commercial) given a textual address.
Contribution:
► Designed and implemented a CNN solution to this unbalanced binary text classification problem.
► Created standalone libraries for the training and prediction pipelines, which enabled quick productionizaton of the product.

Data Science Intern

Jan 2018 – Jun 2018 · 5 mos

Dr. reddy's laboratories

Analytics Intern

May 2016 – Jul 2016 · 2 mos · Hyderabad Area, India

Developed a full-fledged search application built for searching across Investigation Reports(in PDF) of various products.The interface is such ,that the user can both get an overall summary and a chance to investigate further for more insights to a given query.
Features:
Generalized summary for a query using a wordcloud .
Keywords in specific bins i.e CAPA, Conclusion across the documents which
contain the query.
All the documents which contain the query will be displayed and can be downloaded.
Wordcloud , CAPA and list of people who have approved the selected document will
be displayed.
Key Tools : R language, Shiny(web framework for R) and Apache SOLR

R languageShinyApache SOLRData Science