Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.

1. Name: Kartikeya Sharma
Phone: 8826098344
Email ID: kartikeyasharma733@gmail.com
SUMMARY
 Data Science enthusiast with 1.3 years of development experience in agile environment, doing API
development and data analysis. Intuitive understanding of various Machine Learning algorithms and
proficiency in statistics used to make data driven decisions. Passionate about NLP and Deep Learning.
 LinkedIn: https://www.linkedin.com/in/kartikeyasharma95/
 GitHub: http://github.com/Kartikeya-95
KEY SKILLS
 Machine Learning – Supervised and Unsupervised Learning (Regression, Classification, Clustering,
Ensemble Techniques)
 Statistics – (Descriptive and Inferential)
 Python (Matplotlib, Pandas, Numpy, Scikit Learn, Seaborn, Scipy, Statsmodels)
 Tableau
 SQL, JAVA
 Team Foundation Server/Github
ACADEMIC PROJECTS
 Analysis on various public data sets like Rainfall, Population and Commodity Exports.
Performed analysis on public data sets from government sites. Various facts and information have
been gathered and presented using visualizations. For example, population trend in 10 most
populated countries, male and female population, modelling for population as a function of year using
Linear Regression etc.
Key skills: Data Cleaning, Data extraction, Bivariate Analysis, Data Visualization, Comparative
Analysis.
 Analysis on scraped data from an e-commerce website.
Performed data scraping and cleaning of electronics segment of an e-commerce website. In-depth
statistical analysis done on scraped data, which includes summary statistics, hypothesis testing to
check various assumptions, probability calculations on rating of various products using relative
frequency, checking products and brands performing well in terms of rating, number of ratings, price
etc.
Key skills: Web Scraping, Data Wrangling, Data Cleaning, Descriptive statistics, Inferential statistics,
Data Visualization.
 Clustering on past 15 years stock prices of top 100 NASDAQ companies.
Performed data collection of past 15 years stock prices of top 100 NASDAQ companies using a wall
street journal API.
Achievements: Performed clustering on closing price movements by applying PCA, using KMeans with
elbow method and Agglomerative clustering with dendograms, getting well-separated technology,
pharma and semi-conductor companies as per industry type.
Key skills: Data Collection, Data Extraction, Data Transformation, Clustering.
 Foreclosure prediction based on customer demographics and transaction behaviour.
Performed project in financial domain to create probabilistic model to predict the probability of
Foreclosure of loan, based on customer information and transaction behaviour. Applied regression to
check cause and effect relationships and other algorithms like Naïve Bayes and Random Forest.

2. Name: Kartikeya Sharma
Phone: 8826098344
Email ID: kartikeyasharma733@gmail.com
Key skills: Data Merging, Data Cleaning, Univariate, Bi-variate and Multivariate Analysis, Feature
Engineering, Feature Selection, Data Visualization, Logistic Regression, Naïve Bayes, Random Forest
Classifier.
Hackathons
 Participated in various hackathons, Some recent ones are:
o AmExpert hackathon 2019 (binary classification on coupon redemption using auc_score).
o QuantumBlack feature engineering hackathon 2019 (Feature engineering on sensor data).
o Innoplexus hackathon 2019 (Sentiment Analysis).
PROFESSIONAL SUMMARY
Application Development Associate, Accenture. 02/2018-06/2019
 Performed analysis on logs generated in each request/response cycle.
 Automated the task of fetching exceptions from log files using python file I/O and regular expressions.
 Created REST and SOAP based web APIs to integrate different back ends using TIBCO ActiveMatrix
BusinessWorks 6.4.
 Performed unit testing of APIs using TIBCO and SOAP UI.
 Worked in defect support to fix defects in various environments.
 Used JavaScript, jQuery and CSS to make UI changes.
CERTIFICATIONS
 ‘Statistics for data science and business analytics’ by Udemy
 ‘Hands on machine learning A-Z’ by Udemy.
EDUCATION
Course Institution Year Remarks
PGP-Data Science Engineering Great Lakes Institute of Management 2019 Pursuing
Post Graduate Diploma in Applied
Statistics
Indira Gandhi National Open University 2019 Pursuing
B.Tech (CSE-Computer Science) Amity University, Noida 2017 80.4%
12th
Standard Vivekanand School (CBSE) 2013 90%
10th
Standard Dayanand Model School (CBSE) 2011 89.3%