I hereby declare this is my updated resume. Feel free to contact at kdkunal.94@gmail.com Cheers !

1. Reach Me At | Email:kdkunal.94@gmail.com | Kunal Dargan
Phone No. 9899902217
KUNAL DARGAN
OBJECTIVE To secure a position where I can efficiently contribute my skills and abilities to the growth of the
organization and build my professional career. I seek to apply my technical skill to projects at hand to
contribute for the value addition in the organizational setup.
GITHUB : https://github.com/Kunaldargan
LINKEDIN: https://www.linkedin.com/in/kunal-dargan-74a9a9b3/
ANGEL.CO: https://angel.co/kunaldargan
EDUCATION AND
EXPERIENCE
MAJOR IN BTECH COMPUTER SCIENCE
DELHI UNIVERSITY
Bachelor of Technology (BTech), Computer Science
2013 – 2017
The Institute and Faculty of Actuaries UK (IFoA)
Student Actuary, Actuarial Science
2014 – 2016
 Ct - 1 (Financial Mathematics) & Ct-3 (Probability and Stats) Cleared, Ct 6 and Ct5 appeared.
Darbari Lal D.A.V. Model School: CBSE, Physics Chemistry Maths
1998 – 2012
 Physics Chemistry Maths And Computer Science
93.5 % In Cbse Board Examination And
9.4 Cgpa In Class 10th
Industrial trainee at Constalytics (Machine Learning) : Working with team of highly motivated
individuals at this Graph analytics based Startup, Learning Industrial use case for Knowledge Graph and
Machine learning through the deployment of Natural language processing (NLP) and deep learning
models.
 Actively involved in creating various APIs development and pipelines to populate data in Neo4j
(Graph Analytics Engine) using Distributed databases (HDFS) basic implementation.
 Applying Word2vec models on domain specific data to fetch out inferences by Neo4j Graph
 Web scrapping automation through Selenium and Scrapy based spiders
PROJECTS PYTHON IMPLEMENTATION OF MACHINE LEARNING MODELS THROUGH FLASK REST API TO
PREDICT INDIAN INFLATION RATE –DATASET FROM OPEN SOURCE (WORLD BANK)
BY COMPARATIVE STUDY OF THE POTENTIAL OF MACHINE LEARNING MODELS: ARTIFICIAL
NEURAL NETS, RANDOM FOREST, K-NEIGHBORS.
Highly Accurate - Python based project for multiple regression analysis of Indian inflation rate for the
year 2015-2016, Accuracy 97.3% on normalized data, Models such as ANN ( Artificial neural
networks),Random Forests ,KNN trained and optimized on the data provided by World bank for post-
Independence 60 years . First performed data cleaning using Pandas, implemented using Sklearn and
Bundled in WebApi using Flask framework.
SOFTWARE ENGINEERING GROUP PROJECT –RFID READER (BASED ON HYPOTHESIS AND
SOFTWARE LIFECYCLE)
Highway ATC (Automated Toll Collection System Review) based on Radio-frequency identification
(RFID) It uses electromagnetic fields to automatically identify and track tags attached to objects. The
tags contain electronically stored information. Passive tags collect energy from a nearby RFID reader's
interrogating radio waves.

2. Page | 2 Kunal Dargan
CERTIFICATIONS 1. EY (Ernst and Young Hackathon) (Top 10) –Word2Vec implementation for Tax Automation
2. STRUCTURED QUERY LANGUAGE (May 2017 – May’17)
Solo learn, License #1024-3909774
3. JavaScript (May 2017 – May 2017)
Solo learn, License #1060-39097742.
4. SAS and MS Excel ( NOV ’16 to JAN ‘)
White Knight Ventures Oct 2016 - Dec 2016 Certificate Program
ACHIEVEMENTS
AND POSITIONS
 Currently Machine Learning and Python Development Intern at Constalytics
Technologies ,Mohali ,Chandigarh
 We Chat App Testing - Summer Intern In 2015
 College Representative at DIAS- Delhi Institute of Advance Studies Conference 2017: ‘Paper
Presentation on Machine Learning and Implementation in Inflation Rate Prediction.’
 Blitzkrieg Computer Science Department Fest Keshav Mahavidyalaya: Working Committee
Member
 Public Relations Manager , Maniera The Fine Arts Society Of KMV
 Rotract Executive
INDEPENDENT
COURSEWORK
 Android App Development
 Construct 2- 2D Game Development
 Java Language
 Linear algebra
 Machine Learning and Ai - Stanford MOOC by Andrew Ng
 Regression Analysis and GLM (Generalized Linear Models)
 Natural Language Processing –Stanford NLP and NLTK
 Valuation in Finance(Equities, Bonds, Time Value of Money ,Annuities)
SOFT SKILLS  Executed Various Academic Projects At Both School And Under Graduate Level.
 Ability to perform and understand multiple roles and priorities.
 Strong Communication, Collaboration & Interpersonal Skills
 Exposure to Various Programming Languages through Projects, Programming Skills and
Interested in algorithms
 Have a niche for programming, Python, Java Script, C++, Matlab, Scilab, SAS, R...etc.
 FAST LEARNER
 GOOD COMMUNICATOR
 TEAM PLAYER
 ORGANIZED
 ADAPTABLE