Nov 2021 – May 2023 · 1 yr 6 mos

• Built a Marketing Mixture Model, MMX using Bayesian statistics that takes
• sales, ad spend and various KPIs(clicks, impressions) of media channels to derive
• the contribution of each channel’s promotional spends and Ads towards the sales. And developed a UI using Streamlit.
• Built a Multi-class search analytics categorization NLP model on Search keywords of
• company Nissan, by using FastText embeddings and various deep learning models
• CNN, LSTM

Nov 2021 – May 2023 · 1 yr 6 mos

• Built a Marketing Mixture Model, MMX using Bayesian statistics that takes
• sales, ad spend and various KPIs(clicks, impressions) of media channels to derive
• the contribution of each channel’s promotional spends and Ads towards the sales. And developed a UI using Streamlit.
• Built a Multi-class search analytics categorization NLP model on Search keywords of
• company Nissan, by using FastText embeddings and various deep learning models
• CNN, LSTM

Jul 2019 – Nov 2021 · 2 yrs 4 mos

• Worked on an Unsupervised document multi-label classification problem
• using rule-based mining. Done a lot of web scrapping to mine the articles and
• domain-related vocabulary along with topic modelling. Used term-frequency
• labelled the article using similarity scores. Used Flask and PostMan to present the results to clients.
• Made a depth estimation model to work on mobile devices with SNPE, Created an end-to-end python app with docker and opencv that takes an image and generates a corresponding image with depth colormap seamlessly.
• Project lead at Techademy’s Yaksha, an Edutech platform. Developed assessment tests for Python back-end - Data Engineer and Data Scientist streams.
• Worked with InferTrade-UK as an ML Engineer. InferTrade is a backtesting
• platform for trading and portfolio management. I worked with their time series reducer module which models and reports the presence of various statistical components like staleness, spikes etc., I helped in data acquisition and ML modelling(SVM). I also helped in adding unit tests and code-pruning.

Jul 2017 – Jul 2019 · 2 yrs · Hyderabad Area, India

• Worked as a python and ML developer in Snapdragon Neural Processing Engine(SNPE) SDK Machine Learning test suite team. SNPE enables an efficient runtime for deep learning models to run across all Qualcomm chips.
• Apart from development and maintenance of code, I helped in adding arm-oe-linux toolchain
• to the SNPE SDK.
• I also helped in monitoring the devices for nightly runs.

Aug 2016 – Dec 2016 · 4 mos · Hyderabad Area, India

• Responsoble for designing, conducting and evaluation of labs and assignments

Feb 2014 – Jul 2015 · 1 yr 5 mos · Hyderabad Area, India

• Developed 3 end-to-end Xerox’s warehouse management webpages.
• Responsible for front-end, controller to model procedures and testing.
• I am also responsible for our team code’s version controlling.
• Took active part in team’s cross functional testing.