Sonu Kumar	 	
 	
Python Expert, Machine 
Learning, AI, NLP, SQL 	
Server	 	 9319263940	 	
enggsonugupta01@gmail.com 
New Delhi	 	 https://www.linkedin.com/in/s onu	-	
kumar	-a587ab16b/	 	 
SUMMARY	 	  
4.7	 years  experienced  data  analytics 	
professional  possessing  proven  track 
record  of  successfully  applying 
econometric  modelling,  algorithm 
development  &amp;  machine  learning 
techniques  to  solve  key  business 
problems.  Highly  skilled  in  applying 
advanced  machine  le	arning/statistical 	
algorithms  such  as  Gradient  Boosted 
Trees,  Random  Forests,  Ensemble 
Models,  Clustering  etc.  to  real  world 
problems  using  Python.  Looking 
forward  to  applying the acquired  gamut 
of skills to a challenging role in the data 
analytics and mac	hine learning space.	 	
 
           	KEY SKILLS	 	
   Data &amp; Quantitative Analysis	 	
 
  Data Science &bull; Big Data Analytics	 	 &bull; Predictive/Statistical Modelling	 	 &bull; Data Mining &bull; Data Visualization	 	 &bull; Machine Learning Algorithms	 	 	&bull; Business Intelligence &bull; Data 
Wrangling &bull; 	Optimization	 	
 	Techniques	 	
 	
&bull; Project Monitoring &amp; 	
Management	 	
&bull; Coordination &amp; Liaison	 	 &bull; Client Relationship Management	 	 	&bull; Strategic Planning	 	
 
TECHNICAL SKILLS	 	 	Tools	: Python, 	JIRA, 	PostgreSQL, 	
AWS EC2, Azure, MongoDB, Spark, 
ML, AI, Python,SQL, Numpy,	 	
Pandas, 	Seaborne,	 Matplotlib, Azure 	
Data Factory, Azure Datalake, Azure 
Codmosdb, Data bricks ,NLP, 
ARIMA,TIme series Analysis,	 	 	
PROFESSIONAL EXPERIENCE	 	  
Lead Consultant                                                       	Aug 2022 to Current	 	
Learning Links 	Foundation	 	
(Women in Data) Project	. 	
 	Project Management: As a lead consultant, you&#039;ll be responsible for managing data 
analysis projects from initiation to completion. This involves defining	 the project 	
scope, setting timelines, allocating resources, and ensuring that the project meets 
its objectives.	 	
 	Data Collection and Preparation: You&#039;ll lead the process of gathering relevant data 
from various sources, ensuring data quality, cleaning it, a	nd transforming it into a 	
usable format for analysis.	 	
 	Data Analysis: Utilizing your expertise in statistical methods, machine learning, and 
data visualization, you&#039;ll conduct in	-depth data analysis to extract valuable insights, 	
identify patterns, and make 	data	-driven recommendations.	 	
 	Problem Solving: As a lead consultant, you&#039;ll be expected to tackle complex data	-	
related challenges and provide innovative solutions to business problems using data 
analysis techniques.	 	
Data Scientist	 	Aug &#039;20	- Aug &#039;22	 	
Office Solution Inc.	 	Gurugram, IN	 	 Office Solution Inc is the top consulting, advisory &amp; implementation organization, microsoft partner 
lead by Mckinsey and EX BCG in India	 	
 	
Expertise in cu	tting edge technologies in applied deep learning, Machine learning 	
and AI in one or more of the following fields	 	 	Manufacturing analytics : Root cause analysis, scrap reduction, cycle time 
reduction, warranty analytics	 	 	Supply chain analytics: Inventory 	control, demand forecasting	 	  	Sales Domain : Recommendation systems, Customer Segmentation, Price Elasticity 
Computer Vision	 	 	Strong expertise in coding languages;	 Python	 	  	Work experience in preparing data which includes preprocessing, feature 	selection, 	
imputation, cleansing, transformation using Python	 	 	Work experience in data exploration techniques, such as, mean	-variance, k	-means, 	
nearest	-neighbor, outlier techniques, and correlate anomalous sequences of events.	 	  	Proven track record and e	xperience with machine learning algorithms such as 	
Multivariate Regression, classification models, clustering algorithms, support vector 
machine, decision tree, random forest, neural network etc. DOE, Forecasting, 
Segmentation, Uncertainty Analysis etc.	 	 	Working with stake holders from different business units in Bosch to identify the 
business opportunities for leveraging the data to drive business solutions. good 
knowledge of advanced statistical methods (automotive or manufacturing domain). 
Mine and an	alyze data, applying statistical methods discover the hidden patterns and 	
viewing experiences to identify critical data insights.	 	 	Experience in creating statistical models and/or optimization frameworks for 
improving processes/products/profits	 	 	Proacti	vely develop new metrics and studies to quantify the value of different 	
aspects of product.	 	 	Translate analytic insights into concrete, actionable recommendations for business or 
product improvement.	 	 	Develop customized Data models and algorithms for the	 customer data so that 	
they are suited 100% to the specific requirements	 	 	Partner closely with product and engineering leaders throughout the lifecycle of 
project. Ensure that necessary data is captured; analytic needs are well	-defined up 	
front and coordi	nate the analytic needs.	 	   Data Collection &amp; Web Scraping	 	 	Conducted extensive research on revenue management and pricing analytics in 
the hospitality sector	 	 	Gathered pricing data from diff	erent aggregators by performing 	web scraping in 	
Python	 for competitive analysis

Tableau/MS 	power BI, Alteryx	 	Applied various 	machine learning techniques using Python	 to build 	dynamic	 	
 	pricing models	 and maximize profits	 	 	
Packages:	 Scikit	-Learn, Numpy,	 	Developed segmentation models using 	K-means Clustering	 for exploring new	 	
Scipy, Pandas, 	NLTK,	 	user segments	 	 	
BeautifulSoup, Matplotlib,	 	Predicted a cus	tomer&rsquo;s likelihood to book hotel	s at a given point in time based	 	
Statsmodels, Jupyter Notebook	 	on the booking points	 	 	
 	Designed a 	recommendation engine	 to suggest an ideal cluster price for various	 	
Statistics/Machine Learning:	 	identified hotel segments	 	 	
Statistical Analysis, Linear/Logistic	 	Conceptualized and implemented a 	sentiment analysis	 tool to rate hotels based	 	
Regression, SVM, PCA, Ensemble	 	on 	subjective customer reviews	 	 	
Trees, Random Forests, Clustering,	 	Created 	multivariate regression	-based attribution models using ad stock analysis	 	
Graph Theory, Recommenders,	 	from digital marketing data	 	 	
Regularisations	 	 	 	
 	Algorithm Development &amp; 	Optimization	 	 	
CERTIFICATIONS	 	Developed an algorithm for yield management using the concept of price elasticity	 	
of demand	 	 	
Data Science Certification Training	 	
 	
Deployed multiple 	loss minimization &amp; optimization techniques	 	
| Jspyder | May &#039;18	 	Led the	 development of a hotel performance assessment and pricing analysis	 	
 	platform created via 	k-NN Algorithm	 	 	
 	Key Achievements	 	 	
 	Achieved a MoM 	14% increase	 in revenue through the application of dynamic	 	
 	pricing	 	 	
 	Successful in an overall 	loss reduction 	of 10%	 on monthly revenue by	 	
 	implementing the loss minimisation techniques	 	 	
 	Data Analyst	 	Sep &#039;18	- Aug &#039;20	 	
 	ETPL Inc (Nokia Associate Partner)	 	Gurugram, IN	 	  	ETPL is one of the largest software development and Network companies in the world	 	 	Regression Modelling	 	 	Directed 	model development, validation, testing	 and implementation of 	
analytical products and applications	 	 	Developed an 	additive scoring model	 for QSM &amp; a logistic regression model to 	
yield a 	K-S statistic of 51.5	 	 	Tested and imple	mented 	decision trees	, random forests	 and 	ensemble	 models via 	
bagging and boosting	 	  	Data Management &amp; Data Mining	 	 	Deployed advanced 	text mining	 algorithms to identify search intent latent in 	
individual keywords	 	 	Employed 	Principle Component Analysis	 to analyse collinearity and reduce the 	
dimensionality of datasets	 	 	Applied 	Bayesian Model Averaging (BMA)	 to combine individual keyword	-level 	
models	 	 	
EDUCATION	 	  	
Machine Learning Certification	 	Sep &#039;19	- Dec &#039;20	 	 	
Training using Python	 	 	
Jspyder	 	Bengaluru,	 IN	 	 	Course Modules:	 	  	Introduction to Data Science | Data Extraction, Wrangling &amp; Visualization 
Introduction to ML with Python | Supervised Learning I &amp; II Dimensionality 
Reduction | Reinforcement Learning | Time Series Analysis	 	 	
Bachelor of 	Technology in Data Science	 	Jul &#039;14	- Jul &#039;18	 	 	
Punjab Teachnical University	 	New Delhi, IN	 	 	Secured 	87%