About
Results-driven Machine Learning & Data Professional with 5+ years of experience designing, training, and validating ML models on large-scale datasets. Proficient in Python, SQL, and MLOps workflows with a strong background in exploratory data analysis (EDA), feature engineering, and model governance. Proven track record of developing time-series forecasting, classification, and anomaly detection models while collaborating cross-functionally to integrate robust ML pipelines and drive business KPIs.
Skills & Expertise (27)
Work Experience
Data Scientist / ML Analyst
Indyside Womens
Jan 2020 - Jan 2025
Designed, built, and validated ML models including time-series forecasting and classification to optimize stock efficiency by 15% and minimize capital blockages. Engineered features from raw operational, vendor, and transactional data to feed scalable model training pipelines. Performed in-depth exploratory data analysis (EDA) to identify data quality issues and drove remediation strategies across datasets. Selected algorithms and tuned hyperparameters to meet agreed accuracy KPIs, producing comprehensive validation reports detailing MAPE/RMSE and risk calibration. Collaborated with Data Engineers on feature pipelines, Full-Stack developers on API endpoints, and MLOps teams to configure automated retraining schedules and implement data drift detection.
Data Analyst
Star PR
Jan 2017 - Jan 2020
Developed clustering and risk scoring workflows for comprehensive campaign performance, optimizing the allocation of budgets and improving ROI conversion metrics. Maintained relational business databases (MySQL/SQL Server) while engineering features from raw audit and transactional data to ensure data integrity and reduce standard reporting runtimes. Produced detailed accuracy reports utilizing confusion matrices and F1/precision/recall metrics to evaluate model behavior. Prepared model governance documentation detailing data sources, baseline assumptions, accuracy metrics, and retraining methodologies, and supported UAT by demonstrating model explainability outputs to business stakeholders. Led a 3-member data team, establishing standardized documentation workflows and peer review protocols.
Technical Associate
Teleperformance
Jan 2015 - Jan 2017
Analyzed thousands of technical support-ticket metrics using EDA to identify systemic service bottlenecks and transaction anomalies. Provided data-driven process improvement recommendations and model explainability outputs that successfully enhanced team resolution rates and customer satisfaction.
Team Lead
Amarjyoti Enterprises
Jan 2011 - Jan 2014
Managed comprehensive operational reporting and cross-functional team productivity metrics. Implemented tracking dashboards that standardized evaluation metrics and streamlined raw data workflows.
Education
B.Tech in Electronics & Communication Engineering - Guru Ramdas Khalsa Institute of Science and Technology
- · Afghanistan
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Skills (27)
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