My Achievements

ACHIEVEMENTS

Awards & Recognitions

Throughout my career, I have been recognized for my contributions and innovations in the field of data science and telecommunications:

  • Ericsson Power Award Winner: Recognized consecutively in Q2 2023, Q4 2021, Q4 2020, Q4 2019, and Q3 2019 for outstanding performance and contributions.
  • Ericsson ACE Award Winner: Acknowledged for excellence in Q1 2023, Q3 2023, Q1 2021, and Q2 2020.
  • Employee Partnership Award 2020: Championed data-driven recommendations that significantly enhanced operational efficiencies.
  • Ericsson Key Contributor 2017: Highlighted for pivotal contributions to projects and initiatives.
  • Innovation in Data Analysis: Generated impactful recommendations for 2279 Ericsson Radio System installations, leading to improved network performance.

ACHIEVEMENTS

Education

My educational journey reflects my commitment to lifelong learning and continuous improvement in the fields of data science and technology:

  • Master’s Degree in Data Science (2022-2024), Deakin University, Australia.
  • PGP-DSBA (Data Science & Business Analytics) (2022), University of Texas at Austin, USA + Great Lakes.
  • B.Tech in Electronics and Communication Engineering (ECE) (2009), St. Thomas’ College of Engineering & Technology, WBUT. DGPA: 8.03.
  • Higher Secondary (2005) in Science, 86.2% marks.
  • Madhyamik (2003), 89.125% across all subjects.

ACHIEVEMENTS

Certifications

I hold a range of certifications that validate my skills and commitment to staying at the forefront of technology:

  • Azure 104: Microsoft Azure Administrator.
  • Azure 305: Microsoft Azure Infrastructure Solutions.
  • ITILV4 Practitioner.
  • ERICSSON ETCP-RAN & ERICSSON ETCP-IP Certified Associate.
  • LFS253: Containers Fundamentals. Aspiring for CKA (Certified Kubernetes Administrator).
  • Oracle 9i SQL Certified.
  • Python for Automation (Udemy).
  • Python Developer (Wscubetech).
  • BCSS Machine Learning Degreed (Ericsson).
  • CKA & CKAD: Certified Kubernetes Administrator and Certified Kubernetes Application Developer by Cloud Native Computing Foundation (CNCF) & Linux Foundation.

ACHIEVEMENTS

Work Experience

Ericsson India Global Services Pvt. Ltd. (December 2011 - Present)

In my current role as a Senior Solution Integrator and Tech Lead in the AI-ML Data Science domain, I have spearheaded various AI-ML initiatives. My efforts have been crucial in implementing a data-driven approach within both 4G and 5G networks, significantly enhancing customer experiences across the globe. This role involves comprehensive project management, overseeing the seamless integration of advanced data analytics into network operations to improve efficiency and customer satisfaction.

Nokia Siemens Networks Pvt. Ltd. (November 2009 - November 2011)

As an Engineer, I concentrated on network optimization, KPI maintenance, and resolving network issues to ensure optimal performance and customer satisfaction.Additionally, I have accrued valuable international onsite project delivery experience in nine different countries, including Kuwait, Bangladesh, Senegal, Uganda, Niger, Ethiopia, Malawi, Zambia, and Thailand, which has enriched my capability to manage and implement complex telecom projects worldwide. I have worked globally with all top telecom operators like T-mobile, Sprint, Verizon, Airtel, Grameen Phone, TDC Denmark, Airtel Africa, Airtel India & Bangladesh.

Projects Executed

  • Hardware & Resource Optimization: Enhanced efficiencies in Kubernetes & Virtual Machine Clusters.
  • Telecom Network Clustering: Developed site clustering by revenues, implementing a proactive approach to mitigate emergencies using time series data analysis.
  • Customer Churn Prediction: Built predictive models for a Telecom Operator to anticipate customer churn.
  • Recommendation Chatbot with Network Status: Created a chatbot using Azure NLP model Luis to provide real-time network status and recommendations.
  • Traffic Vehicle Detection: Applied computer vision and Azure Custom Vision, along with Python SDK API, to analyze traffic video footage.
  • Leaf Disease Detection: Utilized Azure machine learning, AKS, computer vision, and deep learning on drone-taken pictures to detect plant diseases.
  • Shinkansen Travel Experience: Developed a model predicting passenger satisfaction based on various travel experience factors with Shinkansen.
  • Employee Attrition Model: Formulated a model to forecast employee attrition based on diverse workplace variables.
  • Dish Network Client Default Prediction: Created a model to predict client defaults on vehicle loan payments.
  • Health Insurance Price Prediction: Analyzed personal health data to predict insurance premiums.
  • Grocery Store Revenue Enhancement: Suggested strategies to boost revenue based on point-of-sale data analysis.
  • Automobile Parts Manufacturer Strategy: Analyzed buying patterns to optimize marketing strategies for an automobile parts manufacturer.
  • Online Retail Orders Analysis: Drove growth for an online retail store through data-driven decision-making.
  • Visualizing Insurance Claims: Provided the CEO of an insurance company with high-level insights using Tableau.
  • Forecasting Wine Sales: Employed time series forecasting techniques to predict monthly sales for a wine company.
  • Election Exit Poll and Presidential Speech Analysis: Conducted text analysis to predict election outcomes and analyze U.S. Presidential speeches.
  • 2G 3G 4G 5G Telecom Network Radio Access data-driven Network Planning, Clustering, Optimization & Integration
Joy Chandra (Data Scientist) - Developed Mitsoft