Data Quality Business

KASHISH TARIQUE

Dallas - TX, USA +1-817-***-**** - *****************@*****.*** - https://www.linkedin.com/in/kashish-tarique - WORK-EXPERIENCE

Goldman Sachs Pvt.Ltd(Platform Solution - Consumer and Wealth Management) Analyst, Hyderabad, India August 2022 - August 2023

• Analyzed Verint Desktop Analytics business data for compliance gaps and fraud risk, reducing violations by 12%.

• Leveraged Speech and Text Analytics for sentiment analysis, ensuring 98% data quality for client GM Financial and Apple Credit Card business needs.

• Collaborated cross-function team to gather business requirement and analyze AHT,reducing manual effort by 15%.

• Trained 10+ auditors and led trainings to align performance with business goals and dashboard improvements. Amazon Development Center(Last Mile Analysis and Quality) Data Quality Analyst Hyderabad, India August 2020 - August 2022

• Individual contributor for geo-correction team, driving auditor reports and elevating project health to 96%.

• Implemented 10m Correction metric minimizing inaccurate geo-codes, enabling trend analysis and reducing costs per transaction.

• Subject Matter Expert:Served as the SME for geo-correction team, managing daily SLA for operational functions.

• Validating business rules and geocode precision by 7% and reducing manual audits through process optimization. Amazon Development Center(Last Mile Analysis and Quality) Quality Assurance Analyst, Hyderabad, India August 2018 - August 2020

• Streamlined Metadata analysis using SQL Editor for improving Key Performance Indicators- KPI for workflows.

• Utilized advanced Excel and Tableau for data visualization Presentation for business processing.

• Automated daily reports and Productivity metrics with ETL processes, saving 2 hours daily (0.25 HC/day).

• Developed scenario-based documentation Standard operating procedural,resulting in a 4% increase in quality. EDUCATION

The University of Texas at Arlington Arlington, TX, USA Master of Science – Information Systems(Minor – Business Analysis) GPA:3.7 May 2025 West Bengal University of Technology Kolkata, WB, IND Bachelor of Technology – Computer Science and Engineering GPA:3.3 May 2018 TECHNICAL SKILLS

Programming Languages: Python(Library:Matplotlib,Panda,Numpy),SQL. BI Visualization: Tableau, Power BI,, Microsoft Office Excel(Pivot, Macros, VBA, XLOOKUP, Vlookup),Alteryx. Methodologies: Agile-Scrum, Waterfall, Lean Six Sigma (Green Belt), SDLC. Process Requirements: Visio, BPMN, Use Cases/User Stories Data Warehouse: Amazon Redshift, Microsoft access. Technical Skills: Root Cause Analysis,Lean Six Sigma,(BI) Reporting,SDLC. Soft Skills: Cross-functional Collaboration,Detail-Oriented,Stakeholder-Program Management,Communication. Tools: SAS, SAP, Agile, JIRA, Scrum.

PROJECTS

• Startup Success Forecasting: A Data-Driven Approach – (SAS Enterprise Miner, Data Models):

• Conducted Exploratory data analysis ad mapping for US startups, examining funding, milestones, and investor trends using PCA, correlation, and ML models (Random Forest, Logistic Regression).

• Built a high-accuracy Random Forest model (92.19% accuracy,0.983 AUC) for predicting startup success.

• Retail-Rocket Recommender System – (Python):

• Analyzed 2.7M+ rows of eCommerce data to Predict item conversion rates based on historical engagement metrics,data Collection,data pre-processed, handled missing values, and normalization.

• Random Forest outperformed Linear Regression XGBoost (R =0.9936),enabling precise purchase behavior prediction and business optimization.

• Netfix Data Analysis – (Python):

• Performed comprehensive preprocessing on 9,827 movie records by cleaning nulls/duplicates, extracting release year, and categorizing vote averages into 4 sentiment labels, enabling structured analysis.

• Normalized and exploded multi-genre field, expanding the dataset to 25,552 records across 19 unique genres, improving accuracy in genre-based visualizations and trend insights.

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