Data Analyst Machine Learning

Sheikh Nazib Ahmed

***********@*****.*** linkedin.com/in/sheikh-nazib-ahmed/ DFW, TX 682-***-**** Professional Summary

Results-driven business and data analyst 18 years of experience in leveraging data for strategic decisions and enhancing product performance. Skilled at translating analytical concepts for non-technical stakeholders. Experienced in leading multinational projects with companies such as Ericsson, Nokia, Huawei, Vodafone across the USA, Qatar, South Africa, Malawi, and Bangladesh, ensuring successful execution and stakeholder satisfaction. Skills and Strengths

• Business Analyst & Product manger

• Machine Learning: Data Preprocessing, Hyperparameter Tuning, Customer Profiling, Statistical Modeling

• Data Visualization: Tableau, Power BI, Dash, matplotlib, seaborn, plotly, WordCloud

• Automation

• Advanced Excel, MS Visio

• Applied advanced Machine Learning algorithms in various projects, including DBSCAN, Support Vector Machines (SVM), K-Means Clustering, K-Nearest Neighbors (KNN), Naïve Bayes, Ensemble Techniques such as Random Forest and Gradient Boosting

• Programming Languages: Python, SQL

• NLP: NLTK, TfidfVectorizer, CountVectorizer, Sentiment Analysis (vaderSentiment)

• Image Processing: Library (ImageOps, ImageFilter)

• Time Series Analysis: statsmodels

• Project Management: Waterfall, Agile (Scrum), Jira, ITIL Practices, DevOps processes

• Theoretical Knowledge: Apache Spark, Hadoop Framework

• Cloud Technologies -GCP

• Analytical Skills: Ability to analyze problems from multiple perspectives.

• Communication Skills: Strong ability to convey complex information clearly.

• Storytelling & Presentation Skills

Employment History

Data Analyst Nybsys Inc, USA May 2023 — Present

• Collaborated with business stakeholders to gather and analyze requirements of telecom system key performance indicators, translating them into predictive models with more than 80% accuracy rate in forecasting KPI.

• Enhanced network reliability by developing and integrating data preprocessing methodologies, improving the accuracy of ML model analysis for 4G Smallcell performance.

• Improved decision-making in network performance by standardizing and cleaning XML datasets, and unstructured log data for model training and creating insightful visualizations.

• Reduced troubleshooting time by 40% by implementing an NLP-based model to automatically identify and highlight root causes of system failures.

• Increased network utilization and performance monitoring by automating report generation and data visualization through Python scripts, and creating an interactive web application using the Dash library.

• Enhanced operational efficiency by 30% through ongoing reviews of data processes and the development of optimization strategies.

• Effectively communicated complex concepts to stakeholders and documented system design procedures, test procedures, and quality standards using Jira and Confluence. Teaching Assistant- Analytics The University of Texas at Arlington Jan 2023 — May 2024

• Improved student engagement and understanding in the Statistics for Business Analytics course through effective teaching assistance and support.

• Led the development of high-impact academic projects, including:

• Signature Classification System: Achieved 95% accuracy in classifying handwritten signatures using Python, data preprocessing techniques, feature extraction, supervised and unsupervised learning methods, and neural networks.

• Stock Market Forecasting: Developed a model using NLP with NLTK and SARIMAX time series forecasting in Python, achieving an 80% prediction accuracy based on daily Reddit news analysis. Senior Billing Analyst Vodafone Qatar Dec 2013 — Aug 2022

• Implemented data-driven strategies that significantly reduced billing call volumes and enhanced profitability by analyzing billing data using SQL.

• Reduced process time from 3 days to 2 hours by automating production bill runs using Python scripts, aligning project goals with client needs through effective change request facilitation.

• Supported smooth project execution by writing and reviewing UAT test cases, providing training sessions, and documentation.

• Supported the marketing team in reducing churn rate through customer profiling using classification and clustering algorithms.

• Recovered approximately $1M in annual revenue by leading innovative problem-solving initiatives, mentoring team members, and identifying and rectifying revenue leakages.

• Develop billing product test plans, communicate with testing teams, and review test results, and perform traceability to ensure all requirements are tested.

• Led the integration project from initiation to deployment of Vodafone's billing system with banks in Qatar for eTopup and bill payment, resulting in a 15% increase in digital payment revenue. Business Support System Analyst (Contract) Huawei South Africa Sept 2010 — Dec 2013

• Collaborated with cross-functional teams to assess and upgrade the Business Support System (BSS) i.e product management, order management and CRM in a 25% reduction in system downtime.

• Led Change and Release Management ensuring smooth IT transitions, served as Test Bed Team Lead, approved emergency changes, collaborated with Problem Management for timely issue resolution, and provided weekly project status and risk reports.

Business Support System Analyst (Contract) Ericsson Middle East Aug 2008 — July 2009

• Designed tailored BSS solutions, automating key processes and reducing operational costs by 20%. Implemented solutions that increased customer efficiency, resulting in a 15% improvement in service delivery times. Business Support System Analyst (Contract) Ericsson Malawi Aug 2007 — Mar 2008

• Led the deployment of BSS software updates and patches, ensuring 100% compatibility with upstream network infrastructure. Achieved a 40% decrease in post-deployment issues thorough testing and validation. Testing Analyst (Contract) Nokia Middle East Dec 2006 — Mar 2007

• Designed and executed comprehensive functional and unit test cases for the BSS system, resulting in a 98% validation accuracy in UAT and production environments. Identified and resolved critical issues, reducing system bugs by 35%.

System Integration Analyst Ericsson Bangladesh July 2006 — Dec 2006

• Collaborated with customers to design and implement tailored solutions for the Ericsson CRM and BSS systems, enhancing operational efficiency by 20%.

Application Support Analyst Huawei Bangladesh Sept 2005 — July 2006

• Provided second-level support for Huawei Business Support Application system, achieving a 90% resolution rate within SLA targets. Streamlined support processes, reducing incident resolution times by 25%. Certifications

PGD Data science and Business analytics, Texas McCombs School of Business, University of Texas at Austin March 2021 — September 2021

https://eportfolio.mygreatlearning.com/sheikh-nazib-ahmed ITIL V3 Foundation, EXIN

May 2012

Education

MS- Business Analytics (STEM-OPT Eligible), The University of Texas at Arlington, USA August 2022 — May 2024

Bachelor of Computer Science and IT, Islamic University of Technology (IUT), Dhaka, Bangladesh January 2000 — October 2003

Awards

• Maverick Advantage Certificate of Distinction in MS and Mav Scholarships

• Certificate of Appreciation: Vodafone Qatar, CXO department for leadership and business process improvement through analytics (2017, 2018, 2019, 2021)

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