Data Engineering

Shashank Bawane Email : ********.******@*****.*** Mobile : 910-***-****

Director – Data Science

PROFILE SUMMERY

Holding 18 years of overall experience with Excellent leadership capabilities building strategic roadmap driving business value through application of advanced analytics and data science. Strong Leadership, communication, and interpersonal skills, including negotiation and influencing skills. Thought Leadership with demonstrated learning agility and ability to rapidly adjust to new contexts, technologies, and trends Play a critical role in owning the entire product Life Cycle, laying out the entire roadmap right from planning to execution align with multiple stakeholders to manage and deliver product releases.

EXPERIENCE, ROLES AND RESPONSIBILITIES

Director - Data Science – TechCloudPro, Vibing Inc. Bangalore, India - since 3rd Sept 2020– Till Date

Key Responsibilities

•lead and coordinate the data strategy with all relevant teams and ensure consistency with the company strategy and product strategy.

•Worked collaboratively with Senior management developing strategy to define business challenges.

•Excellent leadership capabilities maintaining productive team dynamics, engage and enable teams and coach for performance.

•Drive business value through application of advanced analytics and data science.

•Coordinate across functional teams of data scientists, analysts, product managers, Machine Learning engineers, and business operators on value realization initiatives

•Apply algorithmic and other analytical models as appropriate to address business use cases in optimization, recommendations, computer vision, natural language processing and reinforcement learning.

•Identify opportunities to further automated decision-making goals based on data.

•Architect, develop and deploy large-scale data analytics services from prototype through production that meet key business requirements (performance, reliability, speed, monitoring, self-service, etc.)

•Oversee whole data ecosystem such as data architecture and tooling, data management, business intelligence, data analytics, data engineering, and data science in accordance with the overall technology and business strategy.

•lead the data governance for the entire company.

•Own the delivery of data for the entire company as well as for external stakeholders, in alignment with the requirements of the Values Stream Leads.

•build and lead the data group, recruiting the right people to make a difference, and retaining and nurturing talent by supporting and refining the employee growth framework.

•Identify opportunities and build our Data mining and data insights abilities into compelling, scalable, and monetizable products, including supporting pricing work based on metrics, capabilities, and value.

•Ensure that our Data value propositions and products are appropriately reflected in all contractual engagements, working closely with the Business Development, Legal, and other Governance functions to find the right balance.

Lead Data Scientist – PositiveEdge – Bangalore, India - since 18th March – 5th June 2020

Project and Products delivered

•Delivered Resume Parsing Tool developed in Python and NLP.

•Delivered Recruitment Audio Video Bot with Sentiment analysis, Implemented Natural Language Processing for performance assessment.

•Implemented AI powered Scanner and IDS in Cybersecurity space.

•Implemented Industrie4.0 for packaging Industry.

•Handling team of Data Scientist and ML Engineers with technical leadership

•Executed Product development till launch.

•Architecture design and roadmaps and KPI monitoring for business revenue.

•Data Science Practice strategy planning for business Insights.

•End to end Data Science Project Management

Senior Data Scientist - TeamOne Software Technologies – Bangalore, India – July 2015 – March 2020

•Deployed predictive models on cloud- based platform AWS. Minimized customer churn by 28%

•Hands-on with Python, SQL, libraries like Scikit learn, Pandas, matplotlib, seaborn. Used Regression, Decision Tree, SVM, Random Forest for classification and K-Means Clustering

•Launched Data Driven Products with lead Director; grew office revenue by 200% in first nine months (representing 14% of company revenue)

•Managed end to end Data Science and Data Analytics Projects from understanding client's core business and processes, identify critical data problems, design and created data-driven approaches for quantitative analyses and solutions.

•Collated various sources of Data, Ingested Data, and Designed and built Analytics pipeline for Product Development and Data-Driven Solutions.

•AI-ML Solutions delivered in Customer Segmentation in FMCG.

•Marketing Campaign Analysis in Banking

Analytics Manager – AIG – Bangalore, India – July 2014 – June 2015

•Developed and Deployed Premium Prediction model for existing and new customers with guided performance parameters in Insurance Domain.

•Scaled and interpreted analytical capabilities across all business areas, evolving analytics to influence business strategic planning and executives' decision-making.

•Applied statistical and algebraic techniques to interpret key points from gathered data.

•Collaborated with internal stakeholders, identifying, and gathering analytical requirements for customer, product, and project’s needs. In turn improved customer satisfaction.

•Cleaned and prepared data performed Feature Engineering reduced iterations by 40 %.

•Evaluated statistical techniques, with reduced model training time by 33%.

•Transformed Data into insights, presented and Offered data-driven recommendations aligned with overall company strategies and prioritized process improvement initiatives. Achieved KPIs.

•Leading team of 22 Data Engineers, Data Scientists and DevOps Engineers.

•Hiring, mentoring, training, and performance feedback to team members on regular basis

•Involved in pre-sales activities like demos, statement of work preparation

•Strong stakeholder management, planning, decision making and time management skills

IT infrastructure Project Manager - IBM, Bangalore, India - Oct 2010 - Feb 2014

IT infrastructure support and operation Management

Delivered the project end to end from Planning Scheduling, budgeting, Project control,

monitored and closure with Zero delay, within budget of 2.78 million.

Performed detailed risks assessments determining constraints and develop mitigation strategies, opted plan with 30% minimization.

Finalized project financial records with financial controllers and executives. Organized, Improved and Streamlined the Data Governance Processes.

Revised Budget allocation Audited and Restructured.

Managed team size of 35 engineers and Database Administrators Established Strong and impactful client relationship.

Database Administrator - Infosys, Bangalore, India - Oct 2009 – Sep 2010

Reduced downtime by accurately implementing database design and Architecture. Designed and developed Database and analytical data structures for Telecom Client. Database designs and data models, access control to business data

Database Administrator - Electronic Data Systems, Pune, India - July 2006 – Sept 2009

Eliminated downtime by accurate database designs and Schema.

Worked on complex Database and analytical data structures. Created and implemented database designs and data models.

Developed Architecture and data governance for large telecom company.

Software Engineer - HSBC, Pune, India - Feb 2005 – Sept 2006

Requirement gathering, low level and high-level design, Formulated Software specifications for new application, Gathered data, integration, and testing for Banking Project

DATA SCIENCE SKILLS

•Data mining, Data Cleaning, Data Analysis, Business Intelligence, Data Validation, Model Training and Deployment

•Hands-on with Python, PySpark, SQL, Machine Learning Algorithms, libraries like Scikit learn, Pandas, matplotlib, Scipy.

•Experience with Logistic Regression, Naive Bayes, Decision Tree, SVM, Random Forest, K-Means Clustering, Time series analysis, Topic modelling, Text Mining, Image

Processing, Pattern Recognition, Deep Neural Networks, CNN, RNN, Auto encoders and Sentimental Analysis with NLTK for Natural Language Processing (NLP).

•Conceived Data pre-processing and feature engineering, Training models, hyperparameters tuning, measured performance and Deployed AI/ML based solutions to production.

•Presales, Ability to contribute to strategic perspectives and translate into tactical actions.

•Excellent leadership capabilities maintaining productive team dynamics, engage and enable teams and coach for performance.

•Experience in leading a group of BI Leads, Product owners and Technical engineers to develop BI Products.

•Expertise in data quality, master data management, metadata management, collaboration, and business process management

•Good understanding of semantic data models, Data integration tools and techniques like ETL

•Deep proficiency in leading a team that owns multiple solutions/platforms – leveraging

both internal/partner ecosystem and working closely with Data Science, Data Engineering and Product engineering teams.

TECHNICAL SKILLS

Data Science : Python, SQL, Scala, Machine Learning, Artificial Neural Netwrks, CNN, RNN, TensorFlow, Keras, NumPy, SciPy, Deep Learning, PowerBI, QlikView, Tableau, BigData, Hadoop, Hive, NoSQL, Apache Spark, Scala, Azure, Data Bricks, HDInsight, AWS, Data Mining, Predictive Modelling, Proficiency in MS Excel, SAS, R, DevOps processes such as CI/CD, Containerization tools and technologies, Docker, Model Deployment

EDUCATION

M.Tech. (Aerospace Engineering), IIT Madras, Chennai, India Jan 2001

BE (Mechanical engineering), K.D.K. College of Engg. Nagpur, India

ACHIEVEMENTS

Delivered complex project ahead of schedule.

Delivered complex business problem through data analytics and Machine Learning Model deployment

SOFTSKILLS

Collaborator, Negotiator, Presenter, Strong Communication Skills, Team Management

Key Data Science, Artificial Intelligence and Machine Learning Skills

Python, SQL, Scala, Machine Learning, TensorFlow, Keras, NumPy, SciPy, Deep Learning, PowerBI, QlikView, Tableau, BigData, Hadoop, Hive, NoSQL, Apache Spark, Data Mining, Predictive Modelling, Proficiency in MS Excel, Azure, Databricks, SAS, R, AWS

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