Hi, my name is

Abhineet.

Data & AI Enablement Expert.

Accomplished Advanced Analytics Leader with 14+ years in Data Analytics, Engineering, and Science. Proven expertise in designing and deploying scalable data solutions, predictive models, and advanced analytics using ETL, Cloud, Machine Learning, and Visualization Platforms across finance, manufacturing, and QSR. Adept at translating complex data into strategic insights, optimizing pipelines, and leading high-impact initiatives. Recently integrated AI solutions development for intelligent automation.

About Me

With a rich journey spanning finance, manufacturing, and quick-service restaurants (QSR), I have cultivated expertise in predictive modeling, advanced analytics, and data-driven strategies that elevate business performance. My passion lies in tackling complex data challenges and crafting innovative solutions that drive growth. From designing intuitive dashboards to automating data pipelines and ensuring data integrity across platforms, I am committed to transforming data into actionable insights that empower decision-making and fuel success. Here are a few technologies I've been working with recently:
  • Query Languages : PL/SQL, SSIS,SSAS, DAX, KQL
  • Big Data: Spark, Hadoop, Databricks, Snowflake
  • Database: SQL Server, Oracle, MySQL, PostgreSQL
  • Programming: Python, R, Java, Shell Scripting
  • Visualization: Power BI, Cognos, Qlik, ThoughSpot, Looker
  • Orchestration: Talend, Informatica, DataStage, Flink, Azure Data Factory
  • Cloud: Azure, AWS, GCP
  • DevOps/MLOps: Docker, Jenkins, Bitbucket, Git, GitHub Actions, n8n, Ollama, Langchain, LlamaIndex
  • Machine Learning : Pandas, NumPy, Scikit-learn, Statsmodels, TensorFlow, Keras, PyTorch, nltk, tidyverse, dplyr
  • Web: Shiny, Flask, Streamlit, Dash, React, CSS, JavaScript, Node.js
  • Others: Excel, VBA, JIRA, Confluence, SharePoint, Power Automate

Experience

Full Stack Advanced Analytics Engineer - Global Data & AI - Dominos
June 2021 - Present
  • Designed and implemented a robust data anonymization framework in Databricks using Spark, automating PII detection and masking, resulting in enhanced data privacy and compliance.
  • Significantly improved loyalty program forecast accuracy by 20% through advanced predictive modeling, directly contributing to a 12% increase in customer growth on US markets and a 7% rise in sales.
  • Optimized data ingestion processes, reducing runtime by 50%, thereby accelerating the availability of critical insights for executive decision-making.
  • Developed and deployed an automated A/B Testing Dashboard using Power BI, streamlining marketing campaign analysis and improving take-rate visibility for strategic adjustments.
  • Contributed to the Cloud Migration roadmap, redesigning and optimizing data pipelines for superior scalability, performance, and cost-efficiency.
  • Provided expert mentorship and training to cross-functional teams in Data Analytics tools such as Power BI, Advanced Analytics solutions leveraging Visualization tools, Machine Learning and Databricks, significantly elevating organizational data literacy and maturity.
  • Built and deployed custom analytical applications (Streamlit, Flask, Docker, Power Apps) to establish governed frameworks that streamlined departmental decision-making and minimized operational overhead.
Software Developer - Ally Financial
October 2013 - May 2021
  • Streamlined and optimized loan origination systems, achieving a 30% reduction in operational overhead through strategic automation using PL/SQL and DataStage
  • Automated critical financial dashboards using Power BI and Cognos, leading to a 40% reduction in reporting time for account executives and improved data accessibility.
  • Successfully migrated complex legacy systems to Oracle PL/SQL, enhancing data integrity and boosting query performance by 25%.
Senior Solutions Architect - TTI Of USA
August 2012 - Septermber 2013
  • Designed and developed a custom Java-based XML parser (“Abio”), which reduced data lineage documentation efforts by 40%..
  • Standardized Cognos reporting processes, decreasing development time by 15% through the creation and implementation of reusable frameworks.
  • Enhanced data governance practices by creating robust lineage tracking mechanisms, ensuring data consistency and compliance across reporting systems.
Data Analytics Consultant - Reliable Software Resources
March 2011 - July 2012
  • Built efficient ETL pipelines using Informatica, which resulted in a 30% reduction in deployment timelines through comprehensive automation..
  • EDeveloped sophisticated OLAP cubes using Cognos for supply chain analytics, significantly improving inventory forecasting accuracy by 60%.
  • Improved incident support ticket Service Level Agreements (SLAs) for reporting platforms, enhancing operational efficiency and response times.

Education

2009 - 2010
Master of Science Computer Science
University Of Illinois at Springfield
During my Master of Science in Computer Science at the University of Illinois at Springfield, I honed essential skills that have shaped my career. I specialized in advanced database systems, demonstrating effective teamwork and meeting tight deadlines. I also led Student Organizations, serving as President and Vice-President.

Achievements

Hackathon Contest Winner
Awarded top place in multiple hackathons for delivering innovative solutions in data analytics and product development. Recognized for creativity, technical excellence, and impactful problem-solving in fast-paced, competitive environments.
Degree & Certifications
Earned a Master’s degree in Computer Science at University Of Illinois with a focus on advanced database concepts, complemented by 10+ industry-recognized certifications in Microsoft Azure, Power BI, and ThoughtSpot. Demonstrated commitment to continuous learning and professional excellence in data engineering, analytics, and cloud technologies.
Learning Day Speaker
Delivered an engaging session titled "Data Analytics Using Power BI" at the Learning Day event, inspiring participants with practical insights, live demonstrations, and actionable strategies to harness the power of analytics for impactful decision-making.

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