Hire the Best Lead Data Scientist in Hyderabad, India

Versatile and results-driven ML/CV/NLP/AI professional with over 12 years of progressive experience. Holds a Master’s by research in Computer Vision/Machine Learning, backed by notable publications. Proven track record of successfully handling and leading diverse projects in both startup and corporate environments. Adept at understanding and optimizing the entire project lifecycle, with a keen focus on customer satisfaction, value proposition, and product-market fit. Demonstrated skills in team building and management, effective communication with customers, strategic planning, and delivering on future promises. Expertise spans Machine Learning, Deep Learning, AI, Computer Vision, Natural Language Processing, and Automation. Well-versed in Data Science, Algorithms, Agile Methodologies, Product Management, and Tech Leadership. Possesses the experience and strategic vision to excel in senior data scientist and data scientist manager roles, bringing a unique blend of technical proficiency and business acumen.

💸 I have a good 6+ experience as a Data Scientist across several domains like finance, wealth management, retail, healthcare, etc..,. 💸 Built production grade systems in handling and processing large amounts of Data using big data technologies.

• Delivered webinar and proposed a framework in Nasscom India on importance of Model Governance in the lifecycle of Machine learning. • Experienced, data-obsessed professional with over 8 year’s experience in multiple IT domains. • Strong technical competency and project management skills with prominence on successful task completion within the deadline. Proven ability to quickly master the new technology in response to the new requirements. • Have deep industry knowledge in deep learning, machine learning, and artificial intelligence. • Worked on predictive modeling and Deep learning techniques and built intelligent models. • Worked as Data scientist for Healthcare, Banking& Insurance, Markets domains which made me strong in analytical and problem-solving skills in the real world. • Worked with customers, Executive management and various support teams on a daily basis. • Extensive experience in providing analytical solutions with the help of reports and dashboards. Benchmarked a huge number of process improvements. • Worked intensively on Data-driven technologies and obtained in-depth knowledge throughout my career and evolved as Data Scientist. • Worked with Azure and Google cloud platforms. • Have in-depth knowledge with distributed training of the models and deploying them in kubernetes services. TECHNICAL SKILLS : •Analytical Tools: SQL, MS Excel, Oracle, MySQL, SQL Developer. •Project Management Tools: MS Project, Visio, MS Office Suite •Machine Learning Algorithms: Supervised and Unsupervised Learning, Linear, logistic Regression, KNN, ANNs, Support Vector Machines, Time series techniques like ARIMAX, Ensemble techniques like Bagging, Boosting, Stacking, Random Forests. •Optimization techniques like Gradient Boosting, Adam, Adagrad, RMSprop. •Dimensionality reduction techniques like Principal Components Analysis and t-SNE. •Deep Learning Algorithms: CNN, RNN, LSTM, GRU. •NLP techniques like Avg W2Vec, Bag of words, TFIDF, n-grams. •ML Libraries: Tensorflow, scikitlearn, pandas, matplotlib, Seaborn, PyTorch, nltk, spacy etc.

Data Scientist with a three year plus experience in data extraction, analyzing, interpreting and visualizing data to provide business solutions. Experienced in building Machine learning and deep learning models. Proficient knowledge in Statistics, Mathematics and Computer Science Finsihes my Mtech (CS) in SSSIHL puttaparthi. My interests include Machine Learning ,Deep Learning, Computer Vision, and Data Analytics. My M.tech project is in collaboration with Sri Satya Sai Institute Of Higher Medical Sciences(SSSIHMS) puttaparthi.The aim of the project is to classify, segment and optimize the hyper parameters (such as Xavier initialization, batch normalization etc.,) in medical data sets which include Renal and Fundus datasets I've attended several conferences, workshops and also completed some online courses. Skills: Programming Languages: Python, C Frameworks: keras with tensorflow backend

• A focused and goal-oriented professional, offering 11+ years of organizational hands on experience in AI and Data Science, ML, DL, NLP, IOT, Business Analytics, System Analysis, Industry 4.0 domains with strong educational background from top tier 1 indian institutes are IIM-C,IIIT-A(Indian Institute of Management-Calcutta, Indian Institute of Information Technology-Allahabad). • Expertise in statistical and linguistics methods for data pre-processing, information extraction and classification. • Capability to analyze data, create effective visualizations and use powerful Machine Learning Algorithms. • Skilled in using quantitative approaches, creative data analysis, algorithm development and modeling, insightful exposure to regression analysis, outlier analysis, selection methods, classification and clustering, statistical analysis, executed various data analysis techniques, tools and concepts to provide insights to management on driving business results. • Substantial to an understanding of Data & analytics strategy, deep learning frameworks such as Tensorflow, Pytorch, Keras, Machine learning and Deep learning algorithms, Modeling, Python coding, Debugging and Profiling. • Strong experience in AI, Predictive Models, Classification Models, Chatbot, Conversational AI, NLP. • Deployment frameworks such as Flask, Django, Pickle, Json. • Professional experience on Google Cloud Platform, Amazon Web Services, Spark Ml, AWS SageMaker. • Developed multiple models from different domains like Telco, Fleet Management, Banking, Hospitality industry, Pharmaceutical, Automobile, Insurance, etc

Domain expert in CX in Telecom Wireless, US Health Insurance - Claims and Automotive - Vehicle Logistics & Invoicing business. Currently, providing solutions to clients business operations using Data Science, Machine Learning, Deep Learning & Natural Language Processing skills on Big data platforms. Good experience in other technologies & development platforms like Mainframes, AS400, MQ, DotNet, VB, Natstar, SQL, DB2, IMSDB etc. Great Innovative, Analytical & Behavioral skills with positive attitude & perseverance.

Professional Summary: • Wiley Certification in Machine Learning • 12 years of experience in Data Science, Consulting and Business Intelligence. • A team player having in-depth understanding and experience in Data Analytics, Consulting & Strategy, Reporting, PoC, Pre-Sales and Project Management. • Experience in setting up new data analytics practice. • Tools: Python, PySpark, R, Hive, HBase, SQL, Tableau, SAS, SPSS, Power BI and MS Office • Machine Learning: Linear Regression, Logistic Regression, Cluster Analysis, Time Series, Association Rules, Decision Tree, Random Forest, Gradient Boosting • Artificial Intelligence: Natural language processing, ANN, CNN, RNN, LSTM, Transfer Learning, Sequence to Sequence learning, BERT

 Worked for Compugain, PAREXEL, E-Data Experts, and CA. Currently working as a lead data scientist in ADP  Overall 10.5 years of experience in data science and software development in Health care and IT enterprise management domains. 5 years of hands on experience in statistics, machine learning, and AWS cloud and deep learning to draw meaningful insights from data, text and image processing.  Hands on experience in Machine learning techniques Linear Regression, Logistic Regression, Clustering, Ensemble learning and deep learning – Naïve Bayes, GLM, Decision trees, Random Forest, K-means, KNN, SVM.  Experience in Advanced ML models – PCA, SVD, Neural nets, Deep learning, Text mining & linear programming.  Experience in association rule mining and recommendation engines  6 years of hands on experience in Software Design, Development and Performance using Java/J2EE technologies  Followed waterfall, Kanban and Agile/Safe methodologies.  Very good understanding and decent hands on experience in Big data Ecosystem -– HDFS, Map Reduce, Spark, Spark ML, YARN, HIVE, PIG, HBASE, Mongo DB, IMPALA, FLUME and SQOOP.  Knowledge on distributed systems and Scalability issues – Load balancing, Caches, Sharding, Asynchronous Processing and SQL tuning.  Hold a certificate from IIT Hyderabad in advances business analytics using R  Hold a certificate from INSOFE Hyderabad in Big data analytics and Optimization.