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Nikhil BandiNB
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Nikhil Bandi

@nikhilbandi

Product Manager at PowerUp Money; built an AI math chatbot and a medical recommendation system with 85% accuracy.

India
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At PowerUp Money, I moved from Product Analyst to Manager. Before that, I worked as an Analyst at Ola Electric.

At ByteLearn, I contributed to an AI-based interactive chatbot for math problems, defining structured flows with Python logic and Jinja templates to provide contextual hints and guided solutions.

As a researcher on the AIIMS Medical Department Identifier project, I developed a disease-symptom recommendation system and implemented a TF-IDF model that achieved 85% accuracy. I also built data and web applications using Python, Flask, and related tools during internships at CENTA and Alluvium IoT Solutions.

Experience

Work history, roles, and key accomplishments

PowerUp Money logoPM
Current

Manager

Jan 2025 - Present (1 year 9 months)

Worked as Manager at PowerUp Money.

PowerUp Money logoPM

Product Analyst

May 2024 - Dec 2024 (7 months)

Worked as Product Analyst at PowerUp Money.

Ola Electric logoOE

Analyst

Jun 2022 - May 2024 (1 year 11 months)

Worked as Analyst at Ola Electric.

ByteLearn logoBY

SWE Intern

Mar 2022 - Jun 2022 (3 months)

-​ Contributed to developing an AI based interactive chatbot to provide optimal hints and solutions, for math problems.
-​ Defined structured chatbot flows for solving math problems by integrating Python logic with Jinja templates, enabling an AI-driven chatbot to provide contextual hints and guided solutions.

Centre for Teacher Accreditation (CENTA) logoCC

Software Engineer Intern

Jun 2021 - Jul 2021 (1 month)

-​ Designed and created self-assessment and scoring web app to be used by over 4 lakh teachers across India.
-​ Implemented an end to end web stack solution by building a scoring algorithm in python using Pandas and NumPy.
-​ Integrated the python scripts using Flask micro-framework with front-end and graphically depicted the score deviations.
-​ Deployed on AWS using Docker imaging & containeriza

AIIMS Medical Department Identifier (NLP) logoAN

Researcher

May 2021 - Jul 2021 (2 months)

-​ Developed medical department recommendation system based on disease symptoms using machine learning techniques.
-​ Processed large dataset of diseases and departments using Python libraries such as Pandas and NLTK.
-​ Explored and implemented TF-IDF model using Gensim for data vectorization and achieved 85% accuracy.
-​ Designed and integrated the middleware service to SQL database using Flask

Alluvium IoT Solutions Pvt. Ltd. logoAL

Data Science Intern

Apr 2020 - May 2020 (1 month)

-​ Created mathematical models (Light Scoring, categorization and WBGT) using parameters to assess impact on health, productivity, safety of warehouse workers.
-​ Performed analysis on IoT device data to deliver prescriptive recommendations that improved worker safety and productivity.

Education

Degrees, certifications, and relevant coursework

IK

Indian Institute of Technology, Kanpur

Bachelor of Technology, Biological Sciences and Bioengineering

2018 - 2022

Silver medalist, 8.1/10.0

IK

Indian Institute of Technology, Kanpur

Minor, Industrial and Management Engineering

2018 - 2022

TI

The New Green Field Public Academy, Indore

High School

2016 - 2018

SI

Sri Sathya Sai Vidya Vihar, Indore

2004 - 2016

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