Hello 👋 I'm Bhavya Parmar, a passionate Data Analytics Engineer and a graduate student @Northeastern University
Throughout my journey, I've showcased a strong commitment to innovation and leveraging data to drive impactful decisions.
My analytical mindset and collaborative approach have been key in tackling complex challenges and delivering meaningful results.
In my free time, I like to go to the gym, immersing myself in books, exploring football strategies, and indulging in creative pursuits like coffee brewing and interactive workshops.
About Me
Hello! I'm a data-driven enthusiast passionate about solving complex challenges through impactful solutions.
I hold a Master's in Information Systems at Northeastern University and graduating in May 2025, I bring a strong foundation in Computer Science from the University of Mumbai. My passion lies at the intersection of data and technology, where I focus on leveraging data to generate meaningful insights and enable informed decision-making.
With professional experience in data analysis, ETL processes, and being certified twice cloud technologies like AWS, namely - Certified Solution Architect Associate and Certified Cloud Practitioner, I specialize in transforming raw data into actionable intelligence. I thrive in collaborative and innovative environments, constantly driven to explore new ways data can address complex problems and create tangible value.
3+ years of
experience
10827 hours of
coding invested in self development
Experience
Protiviti INC
Full Time
Jul 2022 - Aug 2023
Operational Analyst Consultant
* Built real-time SLA dashboards in Tableau to monitor triage delays and case resolution times; helped People Ops, Internal Tools, and Support teams fix bottlenecks and improve response speed by 37% across 3 service lines.
* Used SQL Server to find missing timestamps and invalid case flows in platform logs; set up weekly exception checks that reduced audit errors by 31% and made QA reviews more accurate.
* Mapped end-to-end case workflows in Confluence, including handoffs, escalations, and revision timelines; this reduced back-and-forth on ticket clarifications by 24% and improved transparency across teams.
* Logged region-specific bugs during sprint testing of new support platform features in Jira; flagged 92% of blockers before launch, leading to smoother rollouts and fewer incidents post-release.
* Wrote Selenium scripts to test real-time dashboard updates during data loads; caught load failures early, stabilized views across regions, and cut triage misfires by 38%.
Tech Used:
Talend Informatica SQL Python Epicor ERP Power BI Looker BigQuery Excel ETL Workflows Data Integration Forecasting Models Automated Validation Self-Service Analytics
Talend Informatica SQL Python Epicor ERP Power BI Looker BigQuery Excel ETL Workflows Data Integration Forecasting Models Automated Validation Self-Service Analytics
Gormal One LLP
Full Time
Nov 2021 - Jun 2022
Business Operations Analyst
*Created daily SLA trackers in Google Sheets to monitor call lags and weekday dips in performance; helped Sales and Support teams respond faster and improved callback time by 37%.
*Queried sync logs in Snowflake to fix broken Salesforce tag flows and attribution issues; restored campaign tracking and avoided data gaps in two active marketing pipelines.
*Audited recruiter tagging by comparing Looker dashboards to manual CRM inputs; found gaps, fixed inconsistencies, and improved QA scoring by 18% through weekly reporting.
*Monitored prompt timing and user exits in internal support chat; improved survey participation by 14% by flagging delay trends and updating flow timing.
*Built Python scripts to check campaign tagging accuracy across live funnels; reduced reprocessing by 43% and gave Marketing cleaner views of drop-offs in lead data.
Tech Used:
Statsmodels NumPy SQL (Window Functions) Looker DAX Snowflake Pandas Redshift A/B Testing KPI Tracking Anomaly Detection Data Pipelines Business Intelligence (BI) Tools
Statsmodels NumPy SQL (Window Functions) Looker DAX Snowflake Pandas Redshift A/B Testing KPI Tracking Anomaly Detection Data Pipelines Business Intelligence (BI) Tools
Exposys Data Labs
Full Time
Jul 2020 - Aug 2021
Support Analytics Analyst
* Joined routing logs with ML-based triggers in Amazon Redshift to track case escalations in real time; improved routing accuracy by 27% and flagged false escalations in AI triage.
* Used Excel to clean ticket flow data and fix bad timestamps; this improved SLA tracking and helped reduce reporting delays by 22% in bi-weekly ops decks.
* Designed Tableau dashboards to track SLA breaches, backlog aging, and vendor delays; surfaced risks 3 days earlier and enabled faster coverage shifts.
* Broke down missed calls by agent and time using Dialpad logs; findings led to schedule changes that increased first-contact rates by 19%.
* Created SOP logs in Notion to track workflow updates and documentation reviews; reduced delays by 33% and supported smoother audits with clear records.
Tech Used:
Python Statistical Modeling Tableau Matplotlib Clinical Trial Datasets Data Pipelines Quality Assurance Data Visualization Stakeholder Engagement
Python Statistical Modeling Tableau Matplotlib Clinical Trial Datasets Data Pipelines Quality Assurance Data Visualization Stakeholder Engagement
Education
Master in Information Systems
Northeastern University
Sept 2023 - May 2025
GPA: 3.91 / 4.00
I completed my Master's in Information Systems at Northeastern University, combining advanced coursework in Computer Science and Business Analytics. This interdisciplinary program provides a robust understanding of data-driven decision-making, system design, and emerging technologies. With its experiential learning focus, Northeastern prepares us to bridge the gap between technology and business, equipping us with the skills to lead digital transformation initiatives and excel in roles like CTO and CDO in the future.
Bachelor of Engineering (BE) in Computer Science
Mumbai University
Sept 2019 - May 2022
GPA: 3.94 / 4.00
I completed my Bachelor's in Computer Engineering, where I developed a strong foundation in core programming concepts such as Data Structures, Object-Oriented Programming, and Database Management Systems. My expertise lies in data analytics engineering, where I leverage these skills to design and optimize data pipelines, perform advanced analytics, and transform raw data into actionable insights to drive decision-making and innovation.
Programming & Analytics
Data Visualization
ETL & Data Management
Cloud Platforms & Tools
Business Analysis & Soft Skills
My Projects
My Hobbies
Trekking
I've hiked 4 significant peaks across the USA and India, including the Rocky Mountains and the Western Ghats, as well as several smaller hill ranges. One day, I aspire to summit Mount Denali. Every time I stand atop a peak, gazing at the vast expanse of the world, I am humbled by the grandeur of nature. It offers me a fresh perspective on life, reminding me that we are mere mortals, and encouraging me to make the most of every moment.
Gym
A good workout is something I can't imagine my life without. The gym has become more than just a routine for me; it's a lifestyle. Starting my mornings with a workout gives me the energy and focus to take on the day. It's incredible how much easier everything feels after breaking a sweat-it's my way of staying grounded and ready for any challenge!
Biking
Riding my Enfield Classic 350 is more than just a hobby-it's a way of life. The rumble of the engine and the open road give me an unparalleled sense of freedom and adventure. Whether it's a long road trip or a short ride around the city, biking clears my mind and sets my soul free. It's not just about getting from one place to another-it's about the journey, the moments, and the memories created along the way.
Call 
Mail 
Address