Data Analyst Research Assistant

Shruti Milind Randive

Atlanta, Georgia +1-224-***-**** *************@*****.*** LinkedIn GitHub Portfolio SUMMARY

Data Analyst with over 4 years of experience utilizing SQL, Python, and Tableau to drive business decisions for top firms like Microsoft and Amazon. Achievements include reducing reporting latency by 60%, enabling rapid decision-making for trading teams, and empowering analysts to conduct real-time analysis on over 150K intraday options records. Recognized for contributions with a publication in a peer-reviewed journal during tenure as Graduate Research Assistant at Northeastern University. WORK EXPERIENCE

Exeliq Consulting Boston, MA

Data Analyst 02/2025 – Present

• Engineered a high-performance data processing pipeline to analyze 150,000+ intraday options records in real-time, which slashed data preparation time by 70% and empowered quantitative analysts to rapidly test and validate trading strategies.

• Performed comprehensive exploratory data analysis (EDA) on a vast repository of 5+ years of historical market data, uncovering critical, non-obvious trends in market volatility and pricing that directly informed and improved the firm's investment strategy.

• Developed and delivered a suite of dynamic, business-ready dashboards and reports that clearly highlighted profitable strike zones and portfolio risk exposure, significantly accelerating the daily decision-making cycle for the firm's trading teams.

• Developed a predictive dividend trend model from 10+ years of historical data, reducing the time spent on quarterly dividend- impact forecasts by 4 hours and identifying $2M in previously overlooked risk exposure. Kiddo Health Boston, MA

Data Analyst 06/2023 – 11/2023

• Designed and deployed interactive Tableau dashboards to automate the tracking of key pediatric activity and wellness metrics, which reduced reporting latency by 60% and provided clinical teams with real-time operational visibility.

• Processed and analyzed over 5 million records of raw data from child wearable devices to identify and visualize core health trends, enabling clinicians to deliver more personalized and proactive patient recommendations.

• Enhanced the accuracy of automated sleep pattern detection by 15% through rigorous cleaning, filtering, and labeling of complex time-series datasets, ensuring higher-quality input for the company's predictive health models. Northeastern University Boston, MA

Graduate Research Assistant (Data Analytics) 03/2023 – 12/2023

• Engineered a full-stack Flask web application that integrated machine learning model outputs with Electronic Health Record

(EHR) data, providing researchers with an intuitive analytics tool that improved diagnostic hypothesis response time by 40%.

• Developed and implemented automated data processing workflows to systematically analyze large-scale medical imaging and clinical datasets, which directly contributed to a peer-reviewed MDPI publication. Apexon-Infostretch Pune, India

Business Analyst / Software Developer 11/2020 – 08/2022

• Partnered with key healthcare stakeholders to design and specification for 5+ interactive Tableau dashboards and a suite of reporting APIs, which consolidated disparate data sources and improved decision-making efficiency for clinical operations by 25%.

• Led the end-to-end migration of legacy, on-premise data reporting systems to a scalable AWS cloud infrastructure, resulting in a 30% reduction in operational costs and establishing a secure, HIPAA-compliant framework for cross-departmental data sharing.

• Optimized the performance and error-handling for 15+ critical reporting APIs through code refactoring and enhanced logging, which slashed the average error resolution time from 4 hours to under 15 minutes and improved overall system reliability by 40%. SKILLS

Data Analysis & Visualization: SQL, Python (pandas, NumPy, matplotlib, scikit-learn), Tableau, Power BI, Excel Databases: MS SQL Server, PostgreSQL, MongoDB, Spark SQL Data Tools: Alteryx, dbt, Airflow, Snowflake

Cloud Analytics: AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse) Certifications: Azure Data Fundamentals (DP-900), AWS Cloud Practitioner, Fundamentals of Databricks EDUCATION

Northeastern University, Master of Science in Information Systems Boston, MA 09/2022 – 12/2024 University of Mumbai, Bachelor of Engineering in Computer Science, Maharashtra, India 08/2016 – 10/2020

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