Deepak Budhiraja
Brooklyn,New York
Summary
Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.
Overview
7
7
years of professional experience
Work History
Learning Specialist
Adelphi University
09.2022 - 01.2023
- Spearheaded individualized support programs for students with ADHD, enhancing their ability to manage academic and personal life challenges effectively
- Facilitated workshops on study skills, time management, and coping strategies for students with ADHD, empowering them with tools to succeed in a competitive academic environment
- Collaborated closely with educators, parents, and therapists to create cohesive support networks for students, fostering a supportive community that encourages student growth and independence.
Senior Consultant and Auxiliary Assistant Team Lead
Cvent
10.2017 - 07.2022
- Enhanced accuracy by 20% in financial reconciliations for clients like Amazon and Google, using Python and SQL to identify discrepancies
- Reduced losses by $3M and managed 5k chargebacks by implementing machine learning models for dispute management during COVID-19
- Integrated sophisticated fraud detection algorithms within Cvent's payment services software
- Utilized Python for anomaly detection and behavioral analytics, decreasing fraud incidents by 48%
- Managed and optimized vendor relationships with key payment processors such as PayPal and Stripe
- Implemented data-driven strategies using SQL and Tableau to resolve inefficiencies, increasing customer satisfaction by 15%
- Implemented comprehensive risk analysis frameworks using predictive analytics and risk modeling in Python
- Identified and mitigated operational risks, reducing risks by 20%
- Coordinated interdepartmental projects with a focus on data-driven decision-making
- Used SQL and Tableau to address data silos, driving business growth by 18% through advanced analytics and process optimization
- Led initiatives to streamline processes and enhance operational efficiency
- Applied lean principles and data analytics in Python and SQL to identify bottlenecks, enhancing efficiency by 15%
- Developed and executed data-driven lead-generation strategies
- Utilized SQL and Python to analyze market trends, contributing to a 10% increase in company growth
- Mentored 15 team members, enhancing their performance by utilizing performance analytics in Python to identify areas of improvement
- Recognized as “Most Valuable Player” and “Covid Warrior” for exceptional performance and contribution during challenging times.
Financial Analyst
IBM
10.2015 - 05.2017
- Reduced fraud incidents by 40% by monitoring customer behavior and identifying risk patterns using advanced data analytics tools like SQL
- Improved customer trust and satisfaction by 20% by resolving account security issues through direct interactions with customers and banking stakeholders, tracked efficiently with Salesforce
- Enhanced operational efficiency and financial accuracy by 35% by leveraging SQL databases for in-depth financial analysis to resolve issues like duplicate payments and overpayments.
Education
MSc in Business Analytics -
Adelphi University
NY, USA12.2023
M.Com (Master of Commerce) -
Arni University
Himachal Pradesh, India05.2016
Bachelor of Commerce, with honors -
University of Delhi
New Delhi, India05.2013
Skills
- Reporting Requirements
- Blended Learning Strategies
- Classroom Management
- Teacher Assistance
Tools Languages
- SQL
- Python (pandas, NumPy, scikit-learn, Matplotlib, Seaborn)
- R (ggplot2, psych)
- Java
- PL/SQL
- JavaScript
- Tableau
- Power BI
- Excel
- Google Analytics
- SEO tools
- Cvent
- Shopify
- PayPal
- CyberSource
- Stripe
- Amazon
- AWS
- Agile-SCRUM
- Wrike
- JIRA
- HTML
- MS Project
- Word
- PowerPoint
- Teams
- Outlook
Projects
NYPD Shooting Data Analysis, Developed interactive visualizations using R, python and tableau for a dataset of 24 variables on NYPD shooting incidents using data from the NYC Open Data portal, enhancing insights into crime patterns and facilitating data-driven decision-making. Bank Marketing: The CRISP-DM PATH, Led a capstone project involving data mining and predictive modeling on a dataset of 41K+ observations, enhancing marketing strategies for a banking institution. Achieved a balanced accuracy of 90% using Gradient Boosting Machines and improved customer targeting by 20%. ML Models and Software Components, Led a team in creating, delivering, and evolving ML models and software components, including forecasting models, machine learning models (such as trees, boosters, SVM), and time-series models, resulting in a 20% improvement in accuracy and a 30% reduction in model training time. Sales Forecasting, Led a project to predict future sales for a company with over 1,000 products, using historical sales data for forecasting the future sales.
Timeline
Learning Specialist
Adelphi University
09.2022 - 01.2023
Senior Consultant and Auxiliary Assistant Team Lead
Cvent
10.2017 - 07.2022
Financial Analyst
IBM
10.2015 - 05.2017
MSc in Business Analytics -
Adelphi University
M.Com (Master of Commerce) -
Arni University
Bachelor of Commerce, with honors -
University of Delhi