Hello! I’m
Saksham Agrawal
A Data-Driven Enthusiast
I’m thrilled you’re here. Please take a moment to explore my webpage, where you’ll find details on my background, experience, skills, and more.
To learn more or connect to me, don’t hesitate to reach out !
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Success is not about the destination, it's about the journey.
So let me walk you through mine!
ABOUT ME
Who I Am
A data-driven enthusiast with demonstrated skills and experience in database systems, software, and languages graduating in December 2020 with my master's degree from Texas &M University and actively looking for full-time opportunities in the field of data science, data analytics, or business intelligence. I completed my bachelor's degree in 2018 and my interest to learn and discover more motivated me to apply for the master's program in the very same year.
I am an IBM Certified Data Science Professional with hands-on experience in data extraction, cleaning, analysis, and visualization.My skill set- both technical & analytical along with an excellent grasp on coding since my high school showcases my potential as an analyst. I consider myself curious, judgmental, innovative, and argumentative in solving data-driven problems and have done a bunch of projects which relate to predictive analytics and inference using statistical techniques. I have also secured 2nd position all over the university in Data Science Competition 2019.
With my prior internship experience and domain knowledge, I aspire to take up a role as an analyst within your organization to drive business decisions and provide engineering and optimization solutions to your company.
Resume-Word Cloud
EDUCATION
What I Have Learned
2014-2018
Bachelor's degree in
Mechanical Engineering with Honours
2010-2014
High School
(ICSE /ISC Affiliated)
2018-2020
Master's degree in Industrial & System Engineering with specialization in Data Analytics
GPA - 4.0/4.0
GPA - 3.6/4.0
Texas A&M University, College Station, TX
It is 30 credit hours structured oriented professional degree program to cover basic knowledge sets, methods and tools used in industries.
Courses:
1.Engineering Data Analysis
2. Applied Analytics
3. Analysis of Industrial Experiments
4. Optimization and Simulation
5. Time Series Analysis
6. Production & Inventory Control
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Indore, India
It is 4 years professional degree program.
Courses:
1. Operation Research & Supply Chain
2. Basic Computer Engineering
3. Statistical Quality Control
4. Operations Mangement
5. Project Management
Laurels School International, Indore, India
It helped me lay a strong foundation for the languages and technical subjects through applied linguistic skills, hands-on practical and project work.
Courses: Physics, Chemistry, Mathematics, Computer Science, English
EXPERIENCE
Where I have Worked
August 2019 - July 2020
Data Analytics Intern
June 2019 - August 2019
Data Technician
May 2019 - July 2019
Graduate Student Assistant
PROJECTS
What I have Applied
1. PREDICTION OF BROOKLYN HOME SALE PRICE AND EXPLORATORY DATA ANALYSIS
Project Approach
Models Implemented
1. "Brooklyn is the neighborhood of New York City that has developed the most in the last ten years. Since 2006 real estate prices have increased significantly.
2. The low availability and the increasing demand, has made Brooklyn properties to hit record numbers. In the first quarter of 2018, the median selling price rose to $800,000, a 3.5% increase from previous prices.
3. If in need to purchase a property in the area, it is extremely important to be able to predict what the actual price for a home is so that one can find better opportunities, and also no overpay for properties with inflated prices."
After fitting and analyzing each model, we found that:
Boosting and Random forest produce good accuracy but yield poor interpretability.
Whereas,
Multiple Linear Regression, Lasso Regression, Ridge Regression produce a less accurate result, but more interpretable models
Building class of property, Year of Sale and the Gross Square foot of property were found to be most important factors affecting the Brooklyn Home sales Price
2. DATA ANALYSIS USING NEIGHBORHOOD SEGMENTATION
1. Bay area is quite expensive and for students relocating here especially, it is important to have options to figure out a cost-efficient way of living.
2. Objective of this project is to have a narrower list of apartments filter out based on the easy commute and lively neighborhood
3. Target audience for this project is anyone (mostly for students since they should not have restrictions for any particular location ) relocating to a particular area
3. TIME SERIES MODEL FORECASTING
4. CITY SEARCH TOOL AND CLUSTERING
DATA SCIENCE COMPETITION 2019
Runner-Up
Organized by Texas A&M Institute of Data Science
The competition was organized by:
Dr. Nick Duffield (TAMIDS Director and Professor in Electrical and Computer Engineering) and
Dr. Edward Jones (Executive Professor in the Department of Statistics) and coordinated by
Jennifer South (Senior Administrative Coordinator at TAMIDS).
The competition judges were
Dr. Duffield and Dr. Jones along with
Dr. Dilma Da Silva (Department Head of Computer Science and Engineering at Texas A&M),
Dr. Venkatesh Shankar (Coleman Chair in Marketing, and Director of Research at the Center for Retailing Studies at Mays Business School, Texas A&M),
Shawn Turner (Senior Research Engineer at the Texas A&M Transportation Institute), and
Dr. Charles Lindsey (Senior Statistician and Software Developer at StataCorp LLC).
“I was impressed by the high quality of entries in this year’s competition”
TAMIDS Director Nick Duffield said.
“The winning teams were particularly commended by the judges for their ingenuity in finding and using subsidiary data from LA Bike Share to identify new bike rental locations.”
MY SKILLS
What I Have Developed
Key competencies
Data Mining,
Data Wrangling,
Machine Learning,
Predictive Analytics,
Statistical Programming,
Natural Language Processing,
Text Analtics, Topic Analysis, Sentiment Analysis
Web Scrapping.
Database Tools & Programming Languages
C, C++,
Java,
Python,
R,
SQL, MySQL
Minitab,
SAS Enterprise Miner,
Tableau,
MS Office- Word, Excel, Access, PowerPoint, Outlook
Machine Learning Algorithm & Packages
Linear Regression, Logistic Regression,
Decision Trees, Random Forest, Boosting,
Ridge Regression, Lasso Regression,
Support Vector Machines,
Neural Networks
Clustering methods, Classification
ARIMA & Other Time Series Forecasting Models
numpy, pandas, sklearn, matplotlib, nltk, wordcloud
ISLR, dplyr, MASS, ggplot2,
ACTIVITIES, ACCOMPLISHMENTS & CERTIFICATIONS
What I Have Achieved
Data Science Professional Specialization
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9 Certified Courses offered by IBM
Scholastic Achievements
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In-state tuition waiver and $1000 scholarship for 2019-20 session for my overall academic excellence
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Runner-up in data science competition 2019 organized by TAMIDS
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Secured highest marks in Mathematics in my 12th standard all over the city.
Organizations
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Member of 'Texas A&M Data Analytics Club' - 2018-19
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Member of Sankalp Rotaract Club (non-profit)- 2017--18
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Elected as green hope salvite in my high school and distributed saplings to various parts of our city with my team
REFERENCES
People Who Know Me
We highly recognize and support Mr Agrawal professional work. He has made a significant contribution for creating, facilitating and providing a systematic and organized database for us to provide better services to our students and faculty. If further details are required about Mr Agrawal work with us, please contact me at your convenience.
Dr. Eugenio González J.
Director, Soltis Center, Costa Rica, Central America
Mr. Agrawal is quick to adapt to any work environment and excelled beyond our expectations. He was also able to work in an international cultural environment on this project. We were very fortunate to have had the opportunity to hire Saksham Agrawal and found him to be a very valuable staff member for this short-term project.
Dr. Suzanne Droleskey
Executive Director, Public Partnership & Outreach , TAMU
It is indeed my pleasure to write a letter of recommendation for Mr. Saksham Agrawal. He was under my tutelage in the Department of Mechanical Engineering, S.V.I.T.S Indore during the last two years of his undergraduate studies curriculum. As a student, I have found that Saksham has a very sound understanding of engineering as well as mathematical concepts and has a sharp analytical mind. He has a very good grasping power and is quite sincere and hardworking. The most significant quality I have observed in him is his willingness to learn. I am highly impressed by his excellent ability to deal pragmatically and innovatively in solving a problem.
Mr. Santosh Yadav
Assistant Professor, SVITS
Saksham Agrawal has been a student of our institute. With great insight and innovativeness, he has brought both honor and development to our college by representing our college in an International paper publication. I have known him for 3 years and taught him "Operation Research & Supply Chain Management" and have continuously monitored his acumen and approach and it is a pleasure to say that he has raised the bar each time.
Mr. Saksharn Agrawal has asked me to write a letter of recommendation to accompany his application ar your esteemed university. lt is a true pleasure to provide a reference for such a gifted student who is amongst the best of his highly competitive and highly talented class. He is a very promising student with a professional attitude. Saksham made intelligent and insightful contributions during the classroom discussions, but it
was in the practical lab that his enthusiasm shone- During Lab sessions he displayed his creativity and his ability to apply theoretical knowledge into practice, which is genuinely commendable