Boston, MA, Open to Relocate

+1-224-***-****

ad20iq@r.postjobfree.com

Nehal-Varshney

NEHAL VARSHNEY

SUMMARY

Results-driven professional with a solid background in statistical modeling and data analytics, skilled in leveraging data for informed decisions and Business Intelligence solutions. Recognized for independent work, prompt responsiveness, strong multitasking skills, and an inherent ability to lead. Passionate about delivering innovative insights through data and visualization reports. Enthusiastic about analyzing large datasets, finding patterns, and extracting meaningful insights—a process that fuels my love for making data tell a compelling story. Aspiring to excel and become an indispensable contributor in the dynamic field of data analytics. Portfolio-https://nehalvarshney.me/

WORK EXPERIENCE

BACKHOUSE SUPPORT ANALYST INTERN 2023

Universal Studios Parks and Resorts, Orlando

Crafted dynamic visualizations using Power BI to effectively monitor ride downtimes and wait times, resulting in a remarkable 15% improvement in park throughput and heightened overall guest satisfaction.

Successfully designed and implemented user-friendly internal applications with Power Apps and Alteryx, resulting in a 20% reduction in data collection time and a 30% increase in data accuracy through process automation.

Elevated data reconciliation for a vital ticketing system upgrade using SAP and MS Office, which led to a noteworthy 25% increase in data accuracy, playing a pivotal role in project success.

DEVOPS DATA ENGINEER 2021 – 2022

Rapipay Fintech, India

Achieved a 35% reduction in data handling costs, strategically resolving delays in user account verifications and inefficiencies in data retrieval using relational databases like Oracle and NoSQL databases, including MongoDB.

Incorporated agile (Scrum) and waterfall methodologies with precision via JIRA, achieving an impressive 30% reduction in processing time and demonstrating a strategic workflow for translating diverse financial data into actionable insights.

Pioneered swift resolution in data flow for small business loan approvals, leveraging Salesforce CRM to streamline and optimize processes, ensuring instant access to crucial financial details, and reducing approval timelines.

Harnessed the power of Snowflake cloud data warehouse and AWS S3 bucket for meticulous handling of financial data, orchestrating the seamless loading of nested JSON-formatted data into Snowflake tables, empowering decision-making processes.

Launched efficient CI/CD pipelines, set up 15 EKS clusters, and integrated Amazon Web Services (AWS) Secret Manager, resulting in 50% faster workflows and a 35% reduction in operational costs.

RESEARCH ANALYST INTERN 2021

Wadhwani Foundation, India

Engineered the Wadhwani case study portal's backend, educating about the role of machine learning and AI in businesses, using a dynamic tech stack—MS Excel, Scala, Python, HTML, and SQL for an engaging user experience.

Spearheaded comprehensive data mining and ETL processes using Hadoop and Hive, transforming raw data into actionable insights, and enhancing the data quality for seamless integration into the Wadhwani portal.

Elevated Wadhwani portal engagement by presenting dynamic reports and Tableau dashboards, focusing on key performance indicators (KPIs), hence providing instant insights about user interactions for strategic decision-making.

MACHINE LEARNING INTERN 2020

Defense Research and Development Organization (DRDO), India

Masterfully employed advanced Python ML and DL models, leveraging TensorFlow and PyTorch, to rigorously validate AES and PICO encrypted text across vast datasets in a Linux environment.

Applied R, SAS, MS Excel, and Smartsheet for statistical analysis, revealing patterns within encrypted texts leading to a substantial 10% enhancement in forecasting accuracy, underscoring the effectiveness of diverse technologies in deciphering encrypted data.

Skillfully Presented intricate statistical analyses of encrypted texts, captivating team members and senior leadership with compelling storytelling.

PROJECTS AND PUBLICATIONS

Safety Kleen (Clean Harbor) Capstone- Spearheaded a data-driven pricing optimization for Safety-Kleen, using customer sales data for price elasticity, product trends, geography, and customer churn insights, elevating pricing and marketing strategies.

Boston Crime Analysis- Harnessed Python's machine learning and deep learning prowess, and achieved an outstanding 92% accuracy in Boston crime detection, driven by meticulous exploratory data analysis (EDA) for enhanced public safety.

Sentiment Analysis on Instagram and YouTube Comments Web app- Engineered a sentiment analysis model utilizing natural language processing to dissect Instagram and YouTube comments, achieving a remarkable 81% accuracy in sentiment classification.

ANN Based Security Analysis of Block Ciphers with a Focus on Non-Linear Components – Published - SOCPROS 2022

EDUCATION

MASTER OF SCIENCE, BUSINESS ANALYTICS (GPA - 3.76) (Available to start from 1st-January 2024) 2022 – 2023

Northeastern University, Boston, USA

Volunteer-Student Member, Student Conduct Board at Northeastern

BACHELOR OF INFORMATION TECHNOLOGY, COMPUTER SCIENCE ENGINEERING (GPA - 3.65) 2018 – 2022

Bennett University, Greater Noida, India

TECHNICAL SKILLS & CERTIFICATIONS

Power BI, Data Analysis, Data Visualization, JAVA, JIRA, Power Query, Python, AWS, R programming, Oracle Development, Data Governance, SQL, MS Excel, JavaScript, Data Management, HTML, PostgreSQL, Google Analytics, C++ Github, Microsoft office suite Sharepoint, Alteryx, MongoDB, Power Apps

AWS foundation course (certificate)

Complete machine learning course (certificate)

Business Analytics Complete Course (certificate)

Azure data fundamental certified (certificate)

Azure AI fundamental certified (certificate)

Android development, IIT Kanpur (certificate)

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