Mohit Agrawal	 	
agrawalmohit.ma@gmail.com 	| 901	-124	-4748 |	 	
 	
EDUCATION AND	 HONORS	  	
 	
&bull; 	International University of Applied 	Sciences	     	                  	Berlin, Germany	                                                                          	 	
&bull; 	Master	&rsquo;s in Computer Science	 (MScs)                                                                        	              	
JAN2023	-Present	  	
&bull; 	Relevant Coursework: 	Machine Learning, Data Science	, Statistics, Big Data 	
Analytics, Probability &amp; 	   Advanced	 Mathematics	 	
 	
&bull; 	Sant Gadge Baba Amravati University	                    	          	Amravati, Maharashtra	                                                                	 	
&bull; 	Bachelor&rsquo;s of Engineering	 (B.E.)	                                                                                       	                                               	 	
Relevant Coursework :	- Computer Science and Engineering	 	
R	ELEVANT 	SKILLS 	 	
 	
&bull; 	Programming Languages	: Python, Java, C, HTML, 	CSS	, My	SQL	 	
&bull; 	Statistics	: Various Hypothesis Testing, Time Series, Probability Theory	 	
&bull; 	Machine Learning	: Algorithms for Regression (Linear, Logistic), Classification (Decision Trees, 	
Random	-Forest, XG	 Boost, SVM, Na&iuml;ve Bayes, k	-NN), PCA, Clustering 	(k	-means, Hierarchical)	 	
&bull; 	NLP	: Text Processing, Web Scrapping, Sentiment Analysis, Unigram, Bigram	 	
&bull; 	Deep Learning	: ANN, CNN,	 RNN, Text mining	 	
&bull; 	Data Visualization	: Tableau,	 Power BI	, Ms Excel	 	
&bull; 	Advanced Mathematics	: Linear Algebra,	 Calculus,	 Vectors	 	
&bull; 	Basic Knowledge of 	Big Data	 (Apache Hadoop Frame	-Work	) 	
  
 
PROJECTS	 	
 
Netflix Subscriptions Forecasting using Python	 	
 	
&bull; 	Designed 	and implemented a Python	-based Netflix subscription forecasting system, utilizing advanced 	
data analysis and predictive model	ling techniques.	 	
&bull; 	Leveraged historical subscription data to develop accurate forecasts, facilitating data	-driven decision	-	
making for strategic planning.	 	
&bull; 	En	hanced subscriber growth and retention strategies by providing insightful predictions through the 	
application of advanced analytical tools.	 	
&bull; 	Contributed to informed decision	-making processes, empowering the team with actionable insights for 	
optimizing Netflix subscription management.	 	
 
Real or Fake 	&ndash; NLP with Disaster Tweets	:  	
&bull; Implemented Natural Language Processing techniques to the 	Disaster Tweets classifying them either 	
Real or Fake. Achieved a public score of 0.79681 on Kaggle. (NLP, Text Pre	-processing, Python	)

Credit 	Score c	lassi	fication 	using Maching L	earning	 	
 	
&bull; 	Spearheaded a comprehensive project on credit score classification utilizing a variety of machine 
learning algorithms including Logistic Regression, Random Forest, Decision Tree, Gaussian Naive 
Bayes, KNN, and SVM.	 	
&bull; 	Applied advanced statistical models to analyze diverse credit data, enhancing predictive accuracy and 
risk assessment for creditworthiness.	 	
&bull; 	Successfully implemented a multi	-model approach, showcasing proficiency in algorithm selection and 	
fine	-       	tuning to achieve optimal classification performance.	 	
&bull; 	Contributed to the development of a robust credit scoring system, showcasing a deep understanding of 
machine learning techniques and their application in financial risk assessment.	 	
 
 
 
C	ERTIF	ICATIONS	 	
   	
&bull; 	Certified in 	Google data Analytics	 Specialization course by 	Google	 	
&bull; 	Certified in 	Data Analytics and Visualization Job Simulation	 by	 Accenture	 North America	 	
&bull; 	Certified in 	Data Analytics Consulting	 Virtual Internship by 	KPMG	 	
&bull; 	Certified in 	Artificial 	Intelligence	 virtual	 Experience Internship by 	Cognizant	 	
&bull; 	Certified in 	Software engineering	 virtual experience program by 	JP Morgan	 and 	Goldman Sachs	 	
 
 	
ACTIVITIES	 	
  	
&bull; 	Participated in 	Workshop 	&lsquo;TECHTRUNK VENTURES&rsquo; on Android Application 	
Development	 2018	 	
&bull; 	Participated in 	college events	 &ldquo;Blind C	 and 	Error Handling	&rdquo;. 	
&bull; 	Participated in Workshop, 1 day of 	GUVI AI For INDIA	, online 2021	 	
&bull; 	Core Member of 	PACE 	(Pioneers Association of Computer Engineers) Club.	 	
&bull; 	Core Member of 	EUPHORIA	 Committee 2019	-20, 2020	-21.	 	
&bull; 	Worked in Pooja Committee at College Ganesh	 Festival	. 	
 
 
 	
PROFILE LINKS	 	
         	 	
LinkedIn Profile:	 https://www.linkedin.com/in/mohit	-agrawal45	 	
 
 
GitHub Profile:	   	https://github.com/	Mohhitt45