Swapnil Powar

Kalasa Arcade, **th Cross, *nd Stage, Email : adb5ql@r.postjobfree.com

BTM Layout, Bangalore, 560076 Phone : +91 - 843******* Work Experience

Data Analyst at Pacecom Technologies Pvt. Ltd. (Bangalore) May 2019 - Jan 2020

Projects Worked On : Daimler and Subaru Tools Used : GTA and Yam

{ Worked on Advance Driver Assistance System for vehicle detection, lane detection and classi cation for driver less vehicles. Responsible for Analyzing data collected from Radar sensor for building active safety products. Academic Quali cations

Degree College/School University Year of Passing Percentage B.Tech Dayananda Sagar Institution Bangalore. VTU 2018 60.43 Diploma Govt. Polytechnic Athani. DTE 2015 69.76

High-School Shri GMS High-School Shripewadi. KSEEB 2010 68.96 Technical Skills

Programming Languages : C, Java and Python.

Front-end : HTML5, CSS3 and JavaScript(Basics).

Operating System Used : Windows and Linux.

Database : MySQL.

Data Science : NLP, Standard ML, Algorithms(Regression, Classi cation and Clustering).

Data Analysis : Numpy, Pandas and Matplotlib.

Mobile Application Development : Basics of Android SDK.

Area of Interest : Data Structure, Algorithms and Machine Learning.

Tools : Git, OpenCV, OpenGL, MsExcel and LA

TEX.

Projects

All projects available on git : https://github.com/Swapnil-Powar

Apparel Product Recommendation System

Tech Stack - Python, BoW, TF-IDF, Word2Vec, NLP.

{ Designed a recommendation system for women’s apparel using Amazon product advertising API.

{ Used text and image feature extraction techniques and also Natural Language Feature Engineering using bag of words, TF-IDF, Word2vec, CNN and many more to provide content based recommendations.

Face Recognition System

Tech Stack : Python, ML, OpenCV.

{ Applied K Nearest Neighbour classi cation algorithm in face recognition using OpenCV and HaarCascades CNN Model for frontal face detection.

Student Admission System

Tech Stack : Java, MySQL.

{ Created a web application for Student admission system. This application supports the student admission and registration process, the maintenance of student personal, academic and fee related data.

Rice Crop Yield Prediction

Tech Stack : Python, ML.

{ This project basically focuses on predict the yield of rice by using the weather conditions.

{ The focus will be on feature extraction of structured, unstructured data and the purpose is to develop evolutionary approaches for e ective and accurate prediction of yield. Achievements and Extra-Curricular Activities

Keen interest in online coding events and Active participation on online competitive coding websites. Solved over 300 problems on Interviewbit, HackerRank, LeetCode Member Handle : Swapnil-Powar.

Have developed the entire Website of Freedom movement in India on college intranet.

Attended workshop on AngularJS and HTML5 organized by Zenrays Technologies, Bangalore.

Attended workshop on Web Development with AngularJS organized by DSI, Bangalore.

Relevant Courses : Machine Learning, Data Structure and Algorithms, Database, Design and Analysis of Algorithms, Web Technologies and Application.

Hobbies : Problem Solving, Coding, Playing Cricket and Solving Puzzles. i

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