Data Engineering

AKASHNIL ROY

Jharkhand, INDIA P: +91-809******* **********@*****.*** LinkedIn GitHub Website EDUCATION

INSTITUTE OF TECHNICAL EDUCATION AND RESEARCH Bhubaneswar, India Bachelor of Technology; Major in Computer Science and Engineering 2015- 2019

• Cumulative GPA: 8.22/10.0

• Final Year Project: Medibot (A conversational chatbot specific to medical Industry) PRAXIS BUSINESS SCHOOL Kolkata, India

Post-Graduate Program in Data Science; Major in Data Science 2019-2020

• Studies about various Machine Learning Algorithms, Deep Learning Algorithms, NLP.

• Gained insights in Healthcare Analytics, Marketing Analytics, Telecom Analytics, Analytics in Finance

• Completed a capstone project on the financial ratio automation, speech analytics, and sentiment analysis EXPERIENCE

Sciffer Analytics Private. Ltd. Pune, India

Data Science Intern May 2020 – present

• Web scraped data of all Indian Actors and used outputs to build a comprehensive dataset.

• Colour Detection of every frame in a video. It included finding top three colours their percentages and their names of every frame of a video.

• Apparel Detection of Actors. Worked on various object detection models like YOLOv3, RFCN+resnet10, Masked-RCNN.

TATA STEEL Jamshedpur, India

Vocational Training May 2020 – June 2020

• Worked on a fault detection problem where I was supplied by a set of images of structural faults. The business problem was to classify an already segregated fault class into further segregation (critical or non- critical).

• For this I used python, deep learning, computer vision to achieve the desired result. JPMorgan Chase & Co. India

Software Engineering Virtual Internship April 2020 – May 2020

• Gained experience first-hand on how things work in software engineering.

• Learned about (Financial Data, Python Programming, git, react, typescript). PROJECTS

Investeazy - Financial Analytics Dec 2019 – April 2020 1. Understanding important ratios of a company's finances and text summarisation of Chairman's & Director's Speech.

2. Sentiment Analysis of the company by compiling news articles. 3. Project Link

Churn Prediction - Telecom Analytics Oct 2019 - Oct 2019 1. Predicting the churn of customers from a particular telecom operator and the important factors resulting in the churn using Logistic Regression

ADDITIONAL

Technical Skills: Deep Learning, Data Pre-processing, Text Analytics, Python, Statistics, Machine Learning, SQL, Tableau, Knime

Subjects: Healthcare Analytics, Market Research, Data Visualization, RDBMS, Machine learning, Text Analytics, Data Engineering, Statistics, Telecom Analytics, Big Data with Spark, Deep Learning, Analytics in Finance

Languages: Bengali, English, Hindi

Certifications & Training: Git & GitHub, Spark and Python for Big Data with PySpark

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