About Me
Aakash Kumar
B-Tech |PGDM (Big Data Analytics) |+91-8863020909
[email protected] | https://www.linkedin.com/in/aakashanalytics/
Education
PGDM – Big Data Analytics
B-Tech – Mechanical Engineering
HSC …
Aakash Kumar
B-Tech |PGDM (Big Data Analytics) |+91-8863020909
[email protected] | https://www.linkedin.com/in/aakashanalytics/
Education
PGDM – Big Data Analytics
B-Tech – Mechanical Engineering
HSC - Science
SSC - General
Academic Achievements & Certifications
2022 – 24
2016-20
2014-15
2012-13
Goa Institute of Management, Goa
CV Raman Global University, Bhubaneswar
DAV Alok Public School, Ranchi (CBSE)
Bishop Westcott Boys’ School, Ranchi (ICSE)
Completed
7.51 GPA
87.50 %
82.17 %
Certified in Getting Started as a Business Analyst from LinkedIn Learning in 2024
Certified in MySQL for Data Analysis, Power BI: DAX Language and Introduction to Prompt Engineering from LinkedIn Learning in 2023
Cleared till intermediate level of assessment from Hacker Rank for MY SQL and also secured 4 stars on Hacker Rank for My SQL in 2023
Certified in Statistics for Data Science, covering topics like linear and multiple regression analysis, & hypothesis testing on UDEMY in 2022
School topper in Class 12 and was felicitated by then CM of our state and also by Prabhat Khabar in 2015
Core Competencies
Software Packages
Programming
Other Skills
Work Experience
Curofy Pharmaceuticals Private Limited
Tableau, Power BI, Microsoft Advanced Excel, PowerPoint, Statistics, Rapid Miner & JMP
Python (numpy, pandas, seaborn, matplotlib), My SQL, R Studio, SAS (Basics)
Financial Statement Analysis (Income Statement/ Cash Flow Statement/ Balance Sheet), Data Story Telling
October 2020 - May 2022
Conducted trend analysis and target achievement assessment on historical sales data, resulting in a 15% improvement in
target attainment and a 20% increase in sales forecast accuracy for subsequent time frames
Data Analyst
Utilized Macros to automate repetitive tasks, saving approximately 15 hours per week in manual data processing and
visualization. This led to a 15% reduction in turnaround time for generating reports and enhanced data accuracy by 25%
Gave recommendations and suggestions based on the data which increased the profit of the company by 20% and
contributed to informed decision-making and strategic planning
GROWISTO
Business
Intelligence Project
(Data Analyst)
Comprehended the Web Traffic Data and the importance of Leads generated and other metrics in the data with initial
Data Exploration and transition to MySQL Data Cleaning for improved relevance in a B2C Business Model
Processed a dataset of over 10,000 records in MySQL, applying advanced SQL commands to clean and update data,
resulting in a 25% improvement in data quality
Leveraged Tableau to craft visualizations and an interactive dashboard, presenting insights that drove a 15%
improvement in actionable business insights, facilitating more informed decision-making and showcasing the power of
data storytelling in influencing strategic decisions
July 2023 - August 2023
GOA INSTITUTE OF MANAGEMENT June 2023 - August 2023
Research project on
fake review
detection using
NLP
Academic / Live Project
Predictive
Analytics Using
Machine Learning
Power BI
Dashboard for
CSSA
Projects Related to
Retail Analytics
Developed and implemented an innovative NLP algorithm in Python to detect fake reviews with an accuracy of over 60%,
contributing to a 10% reduction in deceptive reviews across various online platforms
Trained the algorithm on a dataset of 2,00,000 reviews, conducting extensive feature analysis including Sentiment
Analysis, Lexical Validity, and Lexical Diversity, resulting in a 25% increase in model precision and effectiveness
Enabled businesses and consumers to make informed decisions in the digital realm, leading to a 15% boost in customer
satisfaction as value co-destruction was reduced
Created and executed a forward regression model resulting in a 15% improvement in billing predictability, translating
to a cost savings of $150,000 annually for Mission Hospital. Additionally, facilitated financial assistance for patients
and their families, reducing their financial burden by 20%
Conducted thorough data exploration, cleaning, correlation analysis, and regression modelling, contributing to a 30%
increase in the accuracy of the predictive model for healthcare pricing. This resulted in an annual cost savings of
$200,000 for Mission Hospital through optimized pricing strategies
Designed and deployed an interactive Power BI dashboard featuring 500+ AIM2Flourish stories crafted by GIM students
for CSSA, resulting in a 30% increase in stakeholder engagement and a 25% rise in website traffic
Implemented advanced functionalities including slicers for precise data filtering, URL linking for seamless access, and card
visualization to display the KPIs, resulting in a 40% improvement in data accessibility and comprehension. Ultimately getting
our dashboard published on the official website of our college
Applied data science to optimize shelf arrangement (Visual Merchandising) in an apparel store, driving
maximum sales by strategically merchandising shirts based on transaction data analysis
Evaluated the effectiveness of a promotion on Ariel washing powder in October for Reliance Retail by utilizing
the previous year's sales data. Additionally, considered the seasonality, cannibalization, pull-forward, and halo
effects to determine that the overall incremental margin has decreased by 3%
Positions of Responsibilities and Extracurricular Activities
Acquired four sponsors by creating a compelling sponsorship deck, resulting in substantial financial support for a Club at GIM
Hosted a national-level case study competition, attracting over 53,000 participants and generating significant engagement from
top MBA colleges, ultimately enhancing the club's reputation and fostering collaboration among industry leaders
Facilitated the former IFS officer's involvement in our event CONFLUENCE, which received recognition from THE MINISTRY OF
EXTERNAL AFFAIRS, INDIA, enhancing the event's prestige and credibility
Experience
Data Analyst
Conducted trend analysis and target achievement assessment on historical sales data, resulting in a 15% improvement in
target attainment and a 20% increase in sales forecast accuracy for subsequent time frames
Utilized Macros to automate repetitive tasks, saving approximately 15 hours per week in manual data processing and
visualization. This led to a 15% reduction in turnaround time for generating reports and enhanced data accuracy by 25%
Gave recommendations and suggestions based on the data which increased the profit of the company by 20% and
contributed to informed decision-making and strategic planning
Business Intelligence Project (Data Analyst)
Comprehended the Web Traffic Data and the importance of Leads generated and other metrics in the data with initial Data Exploration and transition to MySQL Data Cleaning for improved relevance in a B2C Business Model.
Processed a dataset of over 10,000 records in MySQL, applying advanced SQL commands to clean and update data, resulting in a 25% improvement in data quality.
Leveraged Tableau to craft visualizations and an interactive dashboard, presenting insights that drove a 15% improvement in actionable business insights, facilitating more informed decision-making and showcasing the power of data storytelling in influencing strategic decisions.
Academic / Live Project
Research project on fake review detection using NLP.
Developed and implemented an innovative NLP algorithm in Python to detect fake reviews with an accuracy of over 60%, contributing to a 10% reduction in deceptive reviews across various online platforms.
Trained the algorithm on a dataset of 2,00,000 reviews, conducting extensive feature analysis including Sentiment Analysis, Lexical Validity, and Lexical Diversity, resulting in a 25% increase in model precision and effectiveness.
Enabled businesses and consumers to make informed decisions in the digital realm, leading to a 15% boost in customer satisfaction as value co-destruction was reduced.
Created and executed a forward regression model resulting in a 15% improvement in billing predictability, translating to a cost savings of $150,000 annually for Mission Hospital.
Additionally, facilitated financial assistance for patients and their families, reducing their financial burden by 20%.
Conducted thorough data exploration, cleaning, correlation analysis, and regression modelling, contributing to a 30% increase in the accuracy of the predictive model for healthcare pricing.
This resulted in an annual cost savings of $200,000 for Mission Hospital through optimized pricing strategies.
Designed and deployed an interactive Power BI dashboard featuring 500+ AIM2Flourish stories crafted by GIM students for CSSA, resulting in a 30% increase in stakeholder engagement and a 25% rise in website traffic.
Implemented advanced functionalities including slicers for precise data filtering, URL linking for seamless access, and card visualization to display the KPIs, resulting in a 40% improvement in data accessibility and comprehension.
Ultimately getting our dashboard published on the official website of our college.
Applied data science to optimize shelf arrangement (Visual Merchandising) in an apparel store, driving maximum sales by strategically merchandising shirts based on transaction data analysis.
Evaluated the effectiveness of a promotion on Ariel washing powder in October for Reliance Retail by utilizing the previous year's sales data.
Additionally, considered the seasonality, cannibalization, pull-forward, and halo effects to determine that the overall incremental margin has decreased by 3%.
Data Analyst
Conducted trend analysis and target achievement assessment on historical sales data, resulting in a 15% improvement in target attainment and a 20% increase in sales forecast accuracy for subsequent time frames.
Utilized Macros to automate repetitive tasks, saving approximately 15 hours per week in manual data processing and visualization.
This led to a 15% reduction in turnaround time for generating reports and enhanced data accuracy by 25%.
Gave recommendations and suggestions based on the data which increased the profit of the company by 20% and contributed to informed decision-making and strategic planning.