Company Info for cognizant.com | IcebreakerMembers
- Passionate Data Scientist with 4 years of total IT experience, specializing in Data Science for 3.5 years holding extensive experience in Core Python & SQL
- Proficient in Machine Learning, Deep Learning and Natural Language Processing.
- Strong background in developing and deploying various Machine Learning models, including supervised and unsupervised methods, to deliver cutting-edge solutions to clients.
- Versatile experience across diverse domains, including Insurance, Banking, Financial Services and Healthcare.
- Extensive expertise in building sentimental analysis using Transformers-based models.
- Proficient in data visualization and report generation using tools like Power BI.
- Looking for a highly challenging and interesting opportunity in Data Science field to materialize my knowledge and expertise, where I can apply my existing prowess and acquire new skills, which will help me and my Organization in growth.
Having hands-on experiences :
* Machine Learning - Problem solving: Supervised & Unsupervised machine learning algorithms, Classification, Linear Regression, Logistic regression, Developed expertise in Predictive modelling, decision tree techniques, Support vector machine(SVM), Random Forest, Clustering, Natural Language Processing (NLP)
* Deep Learning Frameworks (TensorFlow, Keras), Neural Network, CNN, RNN
* Python - Pandas, Numpy, Scikit-Learn, Matplotlib & Seaborn, Scipy, Data Visualization
* Experienced in Python, SQL, Microsoft office
"I Never Bound my-Self, for better Opportunity" 
Experienced Data Analyst with over 3 years of expertise in designing, optimizing, and governing Big Data solutions to drive business intelligence, operational efficiency, and compliance. Skilled in the Hadoop ecosystem (HDFS, MapReduce, Kafka), cloud platforms (AWS, Azure), and building scalable ETL pipelines for processing massive datasets.
Proficient in PySpark, SQL, and data warehousing solutions using Snowflake and AWS Redshift, ensuring efficient data integration, transformation, and analytics. Good understanding of data governance, security, and compliance frameworks, implementing best practices for data quality, lineage, and access control to meet regulatory standards.
Passionate about delivering high-performance, scalable, and secure data solutions that enable data-driven decision-making, business growth, and regulatory compliance. 
On Top Mate: https://topmate.io/manoj9788
Startup’s: I'm keen to be in product tech advisory roles in the AI, Quality, Accessibility and DevOps Space.
Interests: Engineering leadership, Developer Relations, AI, Legacy Modernization- Digital Transformation, Cloud, Quality, Human-computer Interaction-Accessibility, Observability, AI/ML Ops
Hi, I’m Manoj, a developer, blogger, tester and open-source enthusiast. I enjoy exploring the entire software development lifecycle and am especially interested in solving problems in the Digital transformation, Software Quality, Human-computer Interaction, and Cloud Computing spaces, having worked in enterprises, Fintech, and early-stage startups for over 14 years. I hold a master's degree (MS) in Software Engineering from BITS, Pilani.
I’m an avid open-source enthusiast and have committed to the Selenium and Appium project. I am also part of the project leadership committee for Selenium. I have also contributed to various libraries and frameworks like ngWebDriver, Protractor and Serenity, and hosted my own projects, on Docker and Kubernetes in the automated testing ecosystem.
I genuinely believe that sharing knowledge and experiences would strengthen our community. I am a member of the ACM and IEEE Computer Society and have given keynote addresses and technical talks at numerous international conferences on software engineering and testing in over 15+ countries.
In my free time, I also enjoy researching about Human-Computer Interaction and actively advocate for these interactions to be inclusive for users with various disabilities, as well as a member of the IAAP, IxDF, and W3C ACT-R organisations. 
