Tejas Ashok Shinde
Los Angeles,CA
Summary
- Certified, innovative, detail-oriented Data Science Manager with 5+ years of experience executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing.
- Experience in creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems.
- Passionate about explaining data science to non-technical business audiences. Experience in building scalable models in R and/or Python. Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science / Data Analytics IoT.
- Extensive Experience in developing dashboards and scorecards in Tableau and/or Power BI. Technical rigor - ability to work with engineering teams and develop sustainable cloud products for a wider group.
- With a passion for automation, continuous integration, and machine learning, leading cross-functional teams in optimizing development pipelines, deploying robust cloud architectures, and unlocking actionable intelligence from complex datasets is the sole objective.
- Committed to driving innovation and efficiency, I aim to contribute to transformative projects that empower organizations to thrive in today's rapidly evolving digital landscape.
Overview
4
4
years of professional experience
Work History
Manager - Data Science
HSBC
06.2022 - Current
- Helped set up infrastructure and design Python powered web apps on Azure in forms of tools which served wider audience of the bank
- Played a critical role in taking decisions related to cost management and future workforce churn to manage risks
- Supported Transformation program at the bank to cut down on resourcing costs and save FTE
- Support to the Data Science on shore team on hybrid analysis, D&I strands, Employee Listening strands, Ethnicity analysis & many lenses which proved crucial in decision making.
- Developed and implemented business strategies to achieve business goals and stay competitive.
- Optimized resource allocation by conducting regular performance evaluations and providing personalized coaching for staff development.
- Leveraged data and analytics to make informed decisions and drive business improvements.
- Reduced operational costs through comprehensive process improvement initiatives and resource management.
- Streamlined and monitored quality programs to alleviate overdue compliance activities.
- Planned and budgeted accurately to provide business with resources needed to operate smoothly.
- Defined clear targets and objectives and communicated to other team members.
- Coached and mentored junior data scientists on SAS and data mining techniques.
- Applied statistical and algebraic techniques to interpret key points from gathered data.
- Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordination's.
- Boosted internal communication efficiency by creating interactive dashboards for easy access to key performance indicators using Power Bi and other tools.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Spearheaded the implementation of dashboard visualization tools, providing actionable insights for stakeholders and decision makers.
- Partnered with IT teams to ensure seamless integration between databases and analytical tools, maximizing system efficiency across departments.
- Implemented machine learning algorithms to generate predictive models, guiding future business strategies and investments effectively.
- Created data models to support decision-making processes.
- Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
Senior Data Scientist
HSBC
07.2020 - 06.2022
- Created top of the house products to see predictive information on the workforce, manager effectiveness, skillset prediction & drove conversations as to what can be done to optimize business processes under HR
- Exploratory stage of Azure experience, where I was extensively involved in Azure ML as a resource for creating pipelines, jobs & setting up models for the teams on dynamic instances
- Created an NLP toolkit which took care of clustering on big data with auto labels, concordance, summarization, multi-sentiments, n-gram analysis & everything NLP related which served as a go to tool for quick NLP results in the bank.
- Leveraged mathematical techniques to develop engineering and scientific solutions.
- Designed experiments to validate hypotheses, leading to valuable insights into Employee and Customer behavior patterns.
- Developed custom data pipelines for efficient data processing, leading to improved model performance.
- Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordination's.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
- Optimized data models by implementing machine learning algorithms and advanced statistical techniques.
- Delivered actionable recommendations by conducting comprehensive exploratory data analysis on large datasets.
- Leveraged big-data technologies for scalable analysis, resulting in more accurate insights and predictions.
- Reduced time spent on manual tasks by developing automated processes using Python scripts and SQL queries.
- Advanced real-time anomaly detection capabilities through implementation of machine learning-based monitoring systems.
- Mentored junior team members in advanced statistical modeling techniques, promoting professional growth and skill development.
- Ran statistical analyses within software to process large datasets.
- Established standardized methodologies for reproducible research within the data science team.
- Implemented randomized sampling techniques for optimized surveys.
- Enhanced business decision-making with robust statistical analyses, including regression modeling and hypothesis testing.
Education
MASTER OF COMPUTER APPLICATIONS (DATA SCIENCE) -
SYMBIOSIS INSTITUTE OF COMPUTER STUDIES AND RESEARCH
Pune, India01.2020
BACHELOR OF COMPUTER APPLICATIONS -
SYMBIOSIS INSTITUTE OF COMPUTER STUDIES AND RESEARCH
Pune, India01.2018
Skills
- PYTHON
- R
- JAVA
- C
- C
- AZUREML ARCHITECTURE
- AZURE APP SERVICE
- AZURE DEVOPS
- DEEP LEARNING
- GPT3
- BERT
- TRANSFORMERS
- GAN CONCEPTS
- STREAMLIT
- POWERBI
- POWERAPPS
- VIVA
- ORACLE CLOUD
- FLASK
- LINUX SCRIPTING
- BATCH SCRIPTING
- DATA MINING
- TABLEAU
- MS SQL
- DATABASES: SQLITE3
- MONGODB
- FIREBASE
- ORACLE
- BIG DATA ANALYTICS
- DATA AGGRESSION PROCESSES
- DATA SCIENCE RESEARCH TOOLS
- NEURAL NETWORKS
- PREDICTIVE MODELLING
- COMPUTATIONAL DESIGN
- STATISTICAL ANALYSIS
- DECISION TREES
- ADVANCED DATA MINING
- DATA PROGRAMMING
- CLUSTERING ALGORITHMS
- MICROSOFT OFFICE SUITE
- BASIC ANIMATION USING BLENDER
- LEADERSHIP
- CONSULTATIVE MINDSET
- CONFLICT RESOLUTION AND MANAGEMENT
- DECISION MAKING
- COMMUNICATION, AND INTERPERSONAL SKILLS
- CRITICAL AND STRATEGIC THINKING
- PROBLEM SOLVING
- RISK ANALYSIS
- ADAPTABILITY AND TIME MANAGEMENT
- TEAM BUILDING
- TEAM LEADERSHIP
- SCHEDULE PREPARATION
- TRAINING
- ADAPTABILITY
- TIME MANAGEMENT
- TEAM DEVELOPMENT
- CROSS FUNCTIONAL TEAM WORK
- VERBAL AND WRITTEN COMMUNICATION
- FINANCIAL MANAGEMENT AND BUDGETING
- ANALYTICAL THINKING
- CRITICAL THINKING
- TEAM WORK & COLLABORATION
- DECISION MAKING
Accomplishments
- ETHICAL HACKING AND INFORMATION SECURITY - 2015
- GUINNESS WORLD RECORD FOR THE MOST PEOPLE SOLVING THE RUBIK'S CUBE UNDER 30 MINUTES - NOVEMBER 4TH, 2012.
- SKYDIVER TRAINING COURSE, SAN DIEGO, USA - 2018
INTERESTS
- VIDEO GAMES & MUSIC
- ARTIFICIAL INTELLIGENCE
- WEBSITE DESIGNING
Languages
English
Native or Bilingual
Hindi
Native or Bilingual
Marathi
Native or Bilingual
Timeline
Manager - Data Science
HSBC
06.2022 - Current
Senior Data Scientist
HSBC
07.2020 - 06.2022
MASTER OF COMPUTER APPLICATIONS (DATA SCIENCE) -
SYMBIOSIS INSTITUTE OF COMPUTER STUDIES AND RESEARCH
BACHELOR OF COMPUTER APPLICATIONS -
SYMBIOSIS INSTITUTE OF COMPUTER STUDIES AND RESEARCH
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