Mohammed Abdul Rahman Hazari
Summary
Accomplished and element-orientated Data Scientist / Business Analyst with nearly 6 years of experience leveraging superior analytics and device gaining knowledge of strategies to power strategic business decisions and resolve complicated troubles. Possesses superior capabilities in facts evaluation, statistical modelling, and trouble-solving. Proven ability to translate business necessities into actionable insights and revolutionary solutions. Seeking to leverage information in each enterprise analytics and gadget studying to force strategic selection-making and optimize operational efficiencies.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Business Analyst /Data Scientist
Value Cyber Tech Pvt Ltd
07.2018 - 03.2024
- Streamlined data collection and reporting processing time by 20% enhancing efficiency .
- implemented process improvement and automation solutions, resulting in 15% increase in productivity.
- Collaborated with 3+ cross-functional teams to gather requirements, define project scopes, and ensure alignment with business objective, fostering effective teamwork and project success.
- Produced over 15 comprehensive reports, effectively communicated findings to stakeholders, and leveraged insights to drive actionable outcomes.
- Conducted in-depth market research and analysis, resulting in the identification of over 10 key trends and insights that informed strategic decision-making processes.
- Developed device mastering models for predictive analytics and anomaly detection using Python and TensorFlow.
- Developed device getting to know models for predictive analytics and anomaly detection the use of Python and TensorFlow.
- Conducted information preprocessing, function engineering, and model evaluation to optimize version ordinary performance.
- Collaborated with facts scientists and engineers to installation fashions into manufacturing environments.
- Contributed to the improvement of scalable device studying answers for real-time programs.
- Prepared and presented comprehensive reviews and dashboards highlighting insights from information analysis to senior control.
- Cleaned and preprocessed huge datasets using Python and SQL to make sure data pleasant and integrity.
- Developed superior Excel models to research economic statistics and forecast market performance.
Junior Analyst
Cognizant
09.2016 - 03.2018
- Provided administrative support to senior analysts and department professionals.
- Recommended financial solutions to senior analysts based on detailed financial reporting.
- Generated monthly forecasting information to contribute to executive reports.
- Enhanced and reconstructed computer systems to increase efficiency.
- Investigated system issues and implemented resolutions to reduce downtime.
Education
MBA - Finance
Osmania University
Hyderabad 06.2016
Skills
- Language: Python for Data Science, SQL
- Framework: Pandas, Numpy, Sciket-Learn, Matplotlib
- Tools: PowerBI, Excel, PowerPoint,MySQL, PostgresSQL
- Platforms: PyCham, Jupyter Notebook,Spyder
- Soft Skills: Excellent Communication, people Management,
Strong Stakeholder Management
Projects
Optimization of Machine Downtime.
To establish a new and highly efficient system that employs data- driven maintenance practices for tackling critical downtime issues within the current system while simultaneously reducing operational costs.
Minimizing Pallet Delivery Delay.
To elevate customer satisfaction by enhancing operational efficiency and optimizing inventory management.
Sales Forecasting Model.
Developed a machine learning model to forecast sales trends,
improving accuracy by 20%.
Customer Segmentation Analysis.
Conducted customer segmentation analysis using clustering techniques, resulting in targeted marketing strategies.
Certification
- Certification for Data Science, AI and Development with Python - IBM
- Certification for Machine Learning with Python - IBM
- Certification for Advance lean six sigma
Professional/Technical skills.
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Data Transformation and Feature Engineering
- Supervised Learning (Classification, Regression)
- Unsupervised Learning (Clustering, dimensionality reduction)
- Model Evaluation and Validation Techniques
- Data Visualization Tools such as MatplotLib, Seaborn, Dashboard creation and interactive visualizations
- Statistical Analysis: Statistical Modeling (regression, hypothesis testing) Probability theory and distributions.
- Database Management: SQL database management systems (DBMS)
- Business Intelligence Tools - PowerBi.
Timeline
Business Analyst /Data Scientist
Value Cyber Tech Pvt Ltd
07.2018 - 03.2024
Junior Analyst
Cognizant
09.2016 - 03.2018
MBA - Finance
Osmania University
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