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What makes me a Potential Candidate!

Introduction

I am a graduate student pursuing my Master’s in Business Analytics and Project Management at University of Connecticut with a specialization in Data Science. I have 3 yrs of experience in the field of Data Analytics. I recently worked with Arista Networks as Data Science Analytics intern. During the course of my academic career, I have worked on many data science related projects.

I am skilled in Data Modeling and Visualization. Passionate about dealing with real-world business problems and ability to work in a fast-paced environment with multiple stakeholders.

Skills

Analytical Tools : R, Python, SQL, SAS Enterprise, MS-Excel

Visualization : Tableau, Power BI

Data Science : Supervised Learning Methods (Regression- Linear & Logistics, Lasso, Ridge, Decision Trees, Random Forest, Ensemble Models, SVM, NLTK) ; Unsupervised Learning Methods ( K-means, Hierarchical clustering), Hypothesis Testing

Other : Microsoft Word, Power Point, Risk Analysis, Agile and waterfall Methodologies, MS Project, JIRA, Agile

Certification : Introduction to Python, Data Manipulation with Pandas, Understanding Machine Learning, Intermediate SQL Queries

Academics and Learnings

Education

University of Connecticut,School of Business, Hartford, CT Expected May 2023

Master of Science in Business Analytics and Project Management GPA: 3.86/4

Major courses: Statistics using R, Predictive Modeling, Data Science using Python, Business Decision Modeling, Data management and Business Process Modeling , Web Analytics

Indira Gandhi National Open University, India Oct 2020

Post Graduate Diploma in Applied Statistics

University of Delhi, India Jun 2016

Bachelor of Science (Hons) in Mathematics

Academic Projects

Review Airbnb Scores Rating Prediction (Python, Tableau)

  • Completed EDA on Airbnb data, analyzed regression algorithms for predicting review scores rating, achieving 90% accuracy

  • Created interactive dashboards to visualize the outcome, presented insights such as the average increase in scores rating and top 3 factors affecting the scores rating

EV charging stations in the US (Python)

  • Developed a classification model to predict the presence of electric vehicle (EV) charging stations for 30k zip codes and a regression model to estimate the count of such stations

  • Used MSE, precision, recall to validate the accuracy of the model

Google Ads recommendation for business Marketing of Optical Firm (Web analytics, R, Excel)

  • Understood the impact of advertisements on sales of an optical firm based on customer profiles using p-value < 0.5

  • Used metrics like Click through rate and Approved conversion rate to increase the brand awareness and firm’s revenue

Modeling a business process (E-Commerce) (Oracle, SQL, Lucid Charts)

  • Established a business process and Entity Relationship Diagram in Lucid charts forming the basis for the Oracle database to store all the relevant customer, orders, seller, and payment information

  • Generated complex SQL reports to strategically help in improving the e-commerce business

Work Experience

Professional Work Experience

Arista Networks May’22-Dec’22

Data Science Analytics Intern

  • Collaborated with the audit team on channel compliance and developed a model to detect unusual discounts, resulting in a 60% increase in work efficiency by identifying outlier resellers, end customers, and sales orders

  • Implemented the discount model and collaborated with cross functional teams to perform customer analysis on Tableau

  • Conducted an exploratory analysis of 16k IT helpdesk tickets, using Python and Excel, to create a dashboard for analyzing ticket trends and optimizing staffing plans

  • Led the end-to-end process for ERM risk assessment reporting and designed a heat map in Excel to display top risks

  • Executed sentiment analysis on comments using TF-IDF to generate a top risks word cloud for the risk management team

Stanley Black and Decker Sep’22-Dec’22

Data Analytics Consultant

  • Cleaned and merged spend and protrak & productivity datasets containing 5M rows using Python

  • Delivered a Tableau dashboard for 1k+ SBD Finance users which allows to extract insightful and granular information

KIA, Royal Motors[Bhopal] Pvt. Ltd Nov’20-Jun’21

Business Analyst

  • Leveraged SQL and Tableau to aggregate data creating various dashboards and ad-hoc reports for Sales & Delivery managers improving sales performance by 18%

  • Conducted 3 workshops for various analytical skills such as Sql, Excel, Tableau for newly recruited employees

Mechanz Mar’17-Jan’19

Associate Data Analyst

  • Developed a classification model to predict customer churn rate based on their transactional behavior. It aided marketing teams in identifying the worst spenders to reduce churn by 30%

  • Prepared final analysis reports for the stakeholders to understand the data analysis steps, enabling them to take decisions

  • Performed clustering and market segmentation analysis for existing clients based on multiple factors ~ reducing marketing cost by 15%

  • Assessed the effectiveness of various marketing campaigns using A/B testing

  • Designed sales monitoring dashboards to plot relevant KPI enhancing sales performance by 12%

Always seeking Challenges!

Continuing my journey in the field of Analytics, I’m excited upon applying the learning from my Master’s at Business Analytics program into solving real-life problems with companies. I seek roles with challenging tasks and which allows me to continue to learn and explore different Analytical techniques and master the tools.

My field of Expertise includes:

Predictive Modeling

Data Visualization

Data Manipulation

Contact details:

Primary Email ID:

Secondary Email ID:

Mobile No.: +1(860)-834-2806

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Thank you for the consideration. I appreciate your time devoted to my candidature. I look forward to hearing from you. Any feedback are most welcome! I would certainly want to know on how can I continue to improve my profile and build a career in the field of Analytics.

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