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Work Background
Hoober AICo-Founder
May. 2025
MiQSenior Data Scientist
Dec. 2023 - May. 2025Bengaluru, Karnataka, India
HoneywellData scientist II
Aug. 2021 - Nov. 2023Bengaluru, Karnataka, IndiaProject: Forecasting of amounts payable to Honeywell vendors
The project aims at forecasting how much is the company going to pay its vendors in the next month and quarter separately for every business group. This is a component of a bigger project which envisioned to predict the free cash flow of the company ● Conducted exploratory data analytics on millions of invoices sent to Honeywell by its vendors.
● Developed and deployed an LSTM/RNN regression model with a custom loss function in Tensorflow to predict the
upcoming monthly amounts payable to every vendor.
● Worked on developing maintainable production code in Python. Developed the end-2-end ML/AI pipeline wrapping
up the data retrieval and aggregation, feature engineering, training, and prediction stages using Airflow. Project: Cyber anomaly mapping
This is also a component of a bigger vision that aims to detect cyber threats and recommend cyber actions and precautions. In cyber anomaly mapping, we map the anomalies detected by the cyber system with the correct ontology class. The ontology can further be used to suggest proper actions ● As part of the DS team developed a multi-class ensemble classification model to map anomalies to its relevant ontology class and objects
● Developed an LLM classifier model fine-tuned on system logs combined with numerical features
● Worked on developing the code repository for CI/CD ML pipeline as a POC that can be further utilised and fine tunned
India-Israel Innovation HUBJunior Data Scientist
Oct. 2020 - Jul. 2021Free chlorine modeling for pool water
1. Conducted statistical analysis on spectroscopic data to understand the relationship between the light photons refracted from pool water and its chlorine content
2. Experimented with different non-linear regression models. Developed an LSTM model to predict the free chlorine in water as a function of the absorbance Turbidity modeling for pool water
1. Conducted data regression analysis of the relationship between absorbance of light refracted from water and the turbidity of water 2. Performed feature engineering and developed an outlier/leverage detection model. Developed the complete data processing pipeline and deployed a robust regression model
NineleapsData Scientist / Analyst
May. 2019 - Oct. 2020Bengaluru, Karnataka, IndiaText analysis for abstractive essay evaluator: 1. Performed text analysis on a set of 200 abstractive essays to come up with evaluation metrics and strategize their implementation. Conducted detailed semantic analysis, generated insights and visualization dashboards and published reports based on the text data
2. Used NLTK and Spacy for text preprocessing, stopwords removal, lemmatization and coreferencing, Glove embeddings for vectorization. Used Vectorization, LDA, coreferencing models to implement the said metrics
3. Developed a program to generate assessment reports on handwritten essays using NLP and text processing models. Created text vectors with Glove and developed a REST API with Flask UPSC online learning app
1. Developed web scraping pipelines for scraping news articles from various online sources
2. Developed and implemented SOTA clustering algorithm, news summarization models for an online learning application
3. Developed RNN and ML classifiers to categorize text and documents
Thinkerbell LabsSupply Chain Analyst
Mar. 2018 - May. 2019Bengaluru Area, India
Rao Edusolutions PVT.LTDFaculty Member
Jul. 2017 - Nov. 2017Mumbai, Maharashtra, India
Tata Motors Limited - Commercial VehiclesQuality Engineering, Product Development Intern
Jul. 2016 - Dec. 2016Dharwad
Indian Oil Corporation LimitedSummer Intern
May. 2015 - Jul. 2015Guwahati Area, India
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