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@prajwalbhatt
Bandeira de India Dehradun, India
Membro desde 29 de junho de 2016
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prajwalbhatt

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I am a final year undergraduate student at IIT Roorkee. I am a creative, flexible and focused individual who is passionate about Data Science, Natural Language Processing and the entire Analytics space. I have acquired knowledge of R programming, Python and C++. Further, I have exposure to Machine Learning algorithms like Neural Network, Regression, Decision Trees, and Clustering algorithms etc. I have experience of working as a data science intern in various recognized companies and start-ups before, Schlumberger, Razorpay, KUAI (Israel, Remote intern); to name a few.
$20 Dólares/hora
43 comentários
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Portfólio

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Experiência

Software Engineering Intern

May 2017 - Jul 2017 (2 months)

Schlumberger is the world's leading provider of technology for reservoir characterization, drilling, production, and processing to the oil and gas industry. Smart Query Project Aim: Enable the end users to query the Data Discovery Services in Natural Language. Technologies: Named-entity Recognizer, Conditional Random Field, Machine Learning, Python Challenges Solved: Integration of Python model with the Angular framework.

Data Science Intern

Nov 2016 - Jan 2017 (2 months)

Razorpay is only the second India-focused YCombinator company that provides payment solutions to online merchants in India. Predictive Lead Scoring Model Aim: Model that ranks daily sign-ups based on their Transaction Volume producing potential. Technologies/Tools: Machine Learning, R programming, Python Challenges solved: Built the model using only the signup email address by leveraging different APIs (Facebook Graph, Twitter, Full Contact etc) to extract data.

GIS techniques to optimize computational intensity of clustering geocodes

Aug 2016 - Sep 2016 (1 month)

The aim of the project was to reduce computational intensity of clustering locations. Google Maps Geocode API was leveraged to extract geocodes of the data points. The spherical data is then converted to cylindrical form using Mercator projection so that simple Euclidean distance can be used to compute distance matrix. Thereafter, DBSCAN algorithm is used for clustering. Technologies: R Programming, Geographic Information System (GIS), Clustering algorithms

Data Science Intern

May 2016 - Jul 2016 (2 months)

Loanmeet is a leading peer to peer lending marketplace that provides loans at affordable interest rates. 1. Risk Engine: Aim: Risk Engine that assigns a delinquency probability to the loan applicant Tech: Machine Learning, R, Python Challenges: Highly imbalanced data 2. Bank Activity Classifier: Aim: Model to classify different bank activities & find patterns in user expenditure Tech: Natural Language Processing, Machine Learning, R, Python Challenges: Reduced computational complexity

Educação

Bachelor of Technology

2013 - 2017 (4 years)

Certificações

  • US English Level 1
    92%

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