AI Engineer with 6+ years in Data Modeling & Analytics
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Experienced professional in data modeling, performance optimization, and delivering decision-support analytics for stakeholders. Possesses a strong background in analyzing large datasets, building data pipelines, and leveraging machine learning to drive business decisions. Proven ability to upskill through self-driven learning and apply technical expertise to solve complex problems in various domains.
Technical University of Ilmenau
M Sc. Research · Computer Science and System Engineering
October 1, 2018 – January 1, 2022
Unknown
Bachelor Thesis
August 1, 2015 – July 1, 2016
Spotflock Technologies
Data Scientist
May 1, 2022 – February 1, 2023
Delhi, Delhi, India
Deutsche Gesellschaft für Internationale Zusammenarbeit(GIZ)
Technical Intern
June 1, 2020 – December 1, 2020
Delhi, Delhi, India
Voltas Pvt Ltd.
Sales and Estimation Engineer
February 1, 2017 – August 1, 2018
Delhi, Delhi, India
Zomato Business Analysis using Power BI Dashboard
June 1, 2026 – Present
Power BI dashboard presents a comprehensive analysis of Zomato Restaurant Data with customer preferences and regional trends. The Aim is to provide users with guidance on navigating the report, understanding the data model, and utilizing the various visualizations for detailed insights.
Linguistic Persona and Sentiment Engine
June 1, 2026 – Present
Created a model that leverages sentiment analysis of an e-commerce brand.
Trained and fine-tuned a Small Language Model for Disease Symptoms
June 1, 2026 – Present
Created a model that specifically identifies disease symptoms. It involves medical knowledge with a fine-tuned language model.
MULTI TRAJECTORY SIMULATION ALGORITHM - Master Thesis
October 1, 2021 – January 1, 2022
Objective: Application of the algorithm to make the system more efficient and optimized. Aim: Conversion of XML file to Python script by development of Command Line Interface API and implementation of the algorithm on Python framework. Result: The time response reduced from 2hrs to 30 mins.
Petri-Net model of a Delay Tolerant Network
October 1, 2020 – December 1, 2020
Objective: Prepare a Petri-Net model to be used for further evaluation and implementation of various optimization algorithms to check efficiency and accuracy.
Smart Eye - Bachelor Thesis
August 1, 2015 – July 1, 2016
Smart Eye(MATLAB Based) is the wearable pair of glasses is a wearable technology with a GPS enabled cameras for monitoring and surveillance with various other advantages.
National Conference on 'Computational Intelligence, Communication Networks & Smart Grids'
Unknown
January 1, 2014 – Present
Cultural Fit Analysis
The candidate has a mix of academic and personal projects, demonstrating initiative and a desire to learn new technologies, particularly in the AI/ML space. The transition from Sales and Estimation Engineer to Data Scientist shows adaptability. The projects indicate an interest in applying AI/ML to real-world problems (e-commerce, medical symptoms). However, the professional experience is relatively short for a senior role, and there isn't extensive evidence of cross-functional collaboration or mentorship, which are often key for cultural fit in senior positions.
Soft Skills & Operational Fit
The candidate's experience as a Data Scientist and Technical Intern suggests an ability to work with data, analyze systems, and contribute to optimization efforts. The 'Planned Break' description indicates self-driven learning and upskilling, which is a positive trait for operational fit. However, the resume lacks explicit examples of teamwork, leadership, or complex problem-solving in a collaborative environment beyond individual project descriptions.