Mayank Kumar

Data Scientist

Bengaluru, Karnataka, India10 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proficient in Machine Learning and Deep Learning applications.
Experience in developing data science platforms and forecasting models.
Strong background in Natural Language Processing and Computer Vision.

Stackforce AI infers this person is a Data Science professional with expertise in Machine Learning and Natural Language Processing.

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Skills

Other Skills

AndroidArduinoC++ElasticSearchJavaMatlabMySQLOpenCVPattern Recognition

About

approx. 4 years of experience. Interests in Machine Learning, Deep Learning and its applications in Natural Language Processing. Highly proficient with R, Python and its ML stack.

Experience

Flipkart

5 roles

Senior Data Scientist

Promoted

Apr 2023 – Present · 2 yrs 11 mos

Data Scientist (III)

Oct 2020 – Mar 2023 · 2 yrs 5 mos

Data Scientist (II)

Apr 2019 – Sep 2020 · 1 yr 5 mos

Software Development Engineer II

Jul 2018 – Mar 2019 · 8 mos

as part of planning data science team, I am working on problems related to forecasting sales of products at various category and time hierarchies

Software Development Engineer

Apr 2017 – Jun 2018 · 1 yr 2 mos

I worked on product forecasting using time-series models like ETS, ARIMAX.
Earlier, I also worked on the platform catering to analysts and data science team to train, test and productionise their scripts.

Multimedia research group, snapdeal

Software Engineer

Jul 2015 – Mar 2017 · 1 yr 8 mos · Bengaluru Area, India

Assortment Gap: We try to find the possible product in our catalog similar to competitor's product and figure out the gaps in our catalog.
Category Classification: We built a classifier using product images and titles to classify the category of new product with more than 90% accuracy.
Product Title Quality Evaluator: I also trained LSTM Seq2seq language model with product titles to classify any unusual titles.
Tag cloud for product: I also worked on generating tag cloud to describe a product. I used tf-idf on product highlights to extract the words that best represent the product.
Apart from these, I also did few little fun projects related to image and speech like an app to scan debit/credit card to get details like name, card number, expiry date etc. or an app to use voice for phone recharge.