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Click here or scroll down to respond to this candidate Candidate's Name
Schaumburg, IL EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedIn GitHub
(Open to relocate)
Dynamic professional with 3+ years in Data Analyst. Proven success in leading cross-functional teams, optimizing business
processes, and extracting actionable insights from large datasets using Python, SQL, Tableau, Power BI, and Salesforce. Skilled
in managing large-scale data initiatives, ideating, and steering impactful projects in fast-paced tech environments. Actively
seeking opportunities to leverage analytics expertise in driving product innovation and data-informed growth strategies.
AWARDS, CERTIFICATIONS, PUBLICATIONS
Salesforce Certified Business Analyst - Link
Tableau Desktop Specialist - Link
AWS Academy Cloud Architecting - Link
Mentored 150+ IT students in data management and project planning
Co-authored a Book Chapter titled "Fashion Intelligence: An Artificial Intelligence-Based Clothing Fashion Stylist" in
2023, addressing virtual try-on challenges through AI/ML for accurate size recommendations and realistic garment
visualizations - Link
Secured first place in "Diversity & Inclusion Product of the Year" and third in "Product of the Day" at the 2021
Product Hunt competition, earning Golden Kitten Awards for Leap Club s mobile application - Link
PROFESSIONAL EXPERIENCE
LEAP CLUB KONFLAKE TECH Remote-
Data Analyst May 2023 - May 2024
Leveraged advanced analytics to drive product decisions during a professional networking platform's 0-1 journey, executing analytics
frameworks and conducting A/B tests that informed feature development and optimization, significantly enhancing user
engagement, retention, and revenue metrics across mobile and web applications.
Mobile Application:
Boosted user engagement by developing a data model employing Python, evaluating 100K+ data points to elevate Daily
Active Users by 20% and average session times by 3 minutes
Executed A/B testing utilizing SQL and R, guiding MVP iterations that enhanced user retention by 10% and feature
adoption by 15%, showcasing the ability to drive data-informed product decisions
Proficient in SQL, including Common Table Expressions (CTEs), window functions, and query optimization
techniques, ensuring efficient data retrieval and manipulation for advanced analytics and reporting purposes.
Designed a KPI dashboard with Python and Tableau, integrating key metrics to decrease decision-making time from 2
days to 1 day, fostering faster product iterations
Designed a Power BI dashboard to visually represent the performance of investment portfolios, incorporating DAX
calculations to analyze returns over time and custom visuals to highlight key investment trends for portfolio managers
Formulated a churn prediction model using scikit-learn, identifying at-risk users and instituting retention strategies that
minimized monthly churn by 5%
Delivered weekly data insights through Tableau visualizations, translating user behavior into actionable strategies,
influencing product roadmap decisions across 3 cross-functional teams
Member Web Application:
Spearheaded the development of a SaaS platform MVP from concept to launch in 3 months, leveraging Agile and Jira
to coordinate efforts across design, development, and QA teams, delivering 10 core features on schedule
Created a member-matching algorithm using collaborative filtering, augmenting user connections by 15% and
contributing to a 10% growth in Monthly Recurring Revenue
Examined 50K+ user interactions via SQL and Python to optimize content strategy, yielding a 20% increase in average
session duration and 15% more page views
Performed funnel analysis using Google Analytics and Python, identifying key drop-off points and implementing
changes that elevated conversion rates by 10%
Integrated Google Analytics, in-house trackers, and MoEngage to establish a unified analytics system, enabling
monitoring of 20+ user behavior metrics and reducing reporting time from 1 week to 2 days
MASTEK ENTERPRISE SOLUTIONS Mumbai, India
Data Analyst August 2020 - July 2022
Client: Multinational insurance corporation, UK Region
Led the successful implementation and customization of Oracle HCM modules for multiple enterprise clients, streamlining HR
processes and enhancing data integrity through strategic analysis and cross-functional collaboration.
Evaluated complex HR data sets using SQL and Oracle Business Intelligence, identifying process inefficiencies that led
to a 15% reduction in payroll processing time for a key client
Collaborated with cross-functional teams to develop and deploy custom Oracle HCM reports, decreasing manual
reporting efforts by 20 hours per month and improving data precision by 12% for a Fortune 500 client
Conducted gap analysis between client requirements and Oracle HCM standard functionalities, presenting findings to
senior consultants and clients, informing module customization plans for 3 enterprise clients
Assisted in creating a data migration strategy for large-scale implementation, ensuring 99.5% data integrity during the
transition of 50,000+ employee records from in-house systems to Oracle HCM
Client: Uplara Inc. USA-Based Startup
Optimized data quality and analysis processes for a virtual try-on and sizing recommendation system, significantly enhancing model
accuracy and user experience while managing large-scale, real-time databases.
Designed and established a rigorous quality assurance process for human-annotated images, increasing the accurately
labeled data rate by 50% per day and augmenting Uplara's virtual try-on model performance
Engineered SQL queries to analyze and refine sizing recommendation algorithm, enabling personalized fit suggestions
across 500+ brands without storing customer personal information, improving user experience and privacy compliance
Performed weekly data quality analyses on human-annotated images, identifying and resolving potential issues and
ensuring high-quality input for data modeling, resulting in 30% improvement in model accuracy
Managed and optimized dynamic database containing 10M+ real-time records, implementing efficient querying
techniques, decreasing data retrieval time by 40%, and enhancing overall system performance
PROJECTS
Phoenix Sustainability Waste Management Analytics - Link
Designed ETL pipelines for 300K+ waste records, integrating OpenStreetMap API for geocoding utilizing Python &
SQL analysis to identify waste generation patterns, resulting in 15% optimization in collection route efficiency
Developed interactive Tableau dashboards visualizing waste trends & recycling rates, enabling data-driven decisions and
boosting targeted recycling participation by 20% across neighborhoods
Bank Loan Report: Financial Data Analysis
Conducted in-depth analysis on $435.8M loan portfolio using advanced SQL queries & statistical methods in Python,
optimizing credit risk management to minimize non-performing loans by 10%
Formulated a machine learning model to predict loan default probability, elevating risk assessment accuracy by 25%,
and crafted Power BI dashboards for real-time monitoring of key loan performance indicators
SKILLS
Data Analysis & Visualization: Tableau, PowerBI, Python (NumPy, Pandas, Matplotlib, Scikit-learn), SQL, Statistical
Analysis, A/B Testing, Data Modeling, KPI Dashboards
Programming & Databases: Python, R, SQL, AWS, ETL Processes, Oracle, MySQL
Product Management: Agile Methodology, Product Planning & Design, MVP Creation, JIRA, Requirement
Gathering
Business Intelligence & Tools: Salesforce, Google Analytics, Alteryx, Excel
Soft Skills: Cross-functional Leadership, Stakeholder Management, Problem-solving, Communication
EDUCATION
ARIZONA STATE UNIVERSITY Tempe, AZ
MS in Information Technology, Specialization: Information Systems Management (GPA: 4/4) Aug 2022 - May 2024
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