Prafful Pune India

Prafful

SQL and Python Trainer in Pune
Location
Pune, India
Trainer Since
February, 2014
Data Analytics
SQL
Machine Learning
Advanced Excel
Data Visualization
Data Science
Python
Denodo
PySpark
Location
Pune, India
Trainer Since
February, 2014
Data Analytics
SQL
Machine Learning
Advanced Excel
Data Visualization
Data Science
Python
Denodo
PySpark

SQL and Python Trainer in Pune

About Prafful

Prafful is a highly skilled and experienced professional in data science, machine learning, and Python programming. With an impressive background spanning over 9.5 years, Prafful has honed his expertise in various domains, including data science, deep learning, natural language processing (NLP), and more. As a dedicated trainer, he possesses a wealth of knowledge and hands-on experience, making him a sought-after mentor in the industry.

Throughout his career, Prafful has worked with renowned organizations such as Tesco, Mu Sigma, and Accenture, where he has contributed to cutting-edge projects and gained invaluable insights. His extensive skill set includes expertise in Python, SQL, PySpark, databases, data visualization, and advanced Excel, enabling him to tackle complex data-driven challenges easily. Prafful's in-depth understanding of machine learning algorithms and techniques empowers him to train individuals and teams, equipping them with the necessary tools and knowledge to excel in the rapidly evolving field of data science.

With his exceptional track record and comprehensive industry experience, Prafful brings a unique perspective to the training arena. Whether you're a novice looking to kickstart your journey in machine learning or an experienced professional seeking to enhance your skills, Prafful's guidance and expertise will undoubtedly propel you toward success. Prepare to embark on an enlightening learning journey with Prafful, where you'll unlock the secrets of machine learning, deep learning, Python programming, data science, NLP, and beyond.

Prafful is a Corporate Trainer For

Data Analytics

Training Since:
June, 2014

SQL

Training Since:
June, 2014

Machine Learning

Training Since:
June, 2014

Advanced Excel

Training Since:
June, 2014

Data Visualization

Training Since:
June, 2014

Data Science

Training Since:
February, 2014

Python

Training Since:
June, 2014

Denodo

Training Since:
June, 2014

PySpark

Training Since:
June, 2014

Work Experience

Senior Data Scientist & Biz Dev

Computer and Information Technology (IT):
December, 2021 - present

Roles & Responsibilities

  • Responsible for developing data-driven strategies to drive business growth and success. Involves analyzing large datasets, identifying trends and patterns, and translating them into actionable insights for decision-making
  • Responsible for developing and implementing advanced machine learning models and algorithms to solve complex business problems. Includes selecting appropriate methodologies, conducting experiments, and fine-tuning models to improve predictive accuracy and performance
  • Key in driving business development initiatives. Collaborate with cross-functional teams, identify new business opportunities, and leverage data insights to create compelling value propositions for clients or partners
  • Provide strategic guidance to stakeholders by leveraging data analytics and market trends. Involves using data-driven insights to identify potential areas for growth, recommend strategic investments or partnerships, and help shape the overall direction of the business
  • Responsible for promoting a data-driven decision-making culture within the organization. Involves collaborating with teams to identify key performance indicators (KPIs), establishing data governance frameworks, and ensuring data integrity and quality
  • Promote collaboration and knowledge-sharing across teams by organizing workshops, training sessions, and knowledge-sharing platforms. Helps to enhance data literacy across the organization and enables teams to make informed decisions based on data-driven insights

Analytics and Modeling Specialist

Computer and Information Technology (IT):
October, 2018 - May, 2020

Roles & Responsibilities

  • Conducted extensive analysis on product purchase propensity, utilizing various statistical techniques and machine learning algorithms to identify patterns and factors influencing customer behavior, enabling targeted marketing campaigns and personalized recommendations
  • Developed and implemented churn modeling strategies, leveraging historical customer data and predictive analytics methods to identify potential churners, assess risk factors, and devise proactive retention strategies, significantly reducing customer attrition rates
  • Applied advanced multivariate time series forecasting techniques to predict future demand patterns, optimizing inventory management and supply chain operations across multiple domains, ensuring efficient resource allocation, and minimizing stockouts or overstock situations
  • Led recruitment lifecycle analysis projects, analyzing data from various stages of the hiring process, including candidate sourcing, assessment, selection, and onboarding, to identify bottlenecks, optimize recruitment strategies, and improve overall hiring efficiency and candidate quality
  • Collaborated with cross-functional teams to gather and preprocess data, develop analytical models, and deploy scalable solutions using programming languages like Python and statistical software like R while adhering to the best data quality, validation, and model evaluation practices
  • Provided actionable insights and data-driven recommendations to stakeholders, including senior management, marketing teams, supply chain managers, and HR professionals, through comprehensive reports, presentations, and visualizations. Facilitated informed decision-making and drove business growth in dynamic and competitive markets

Lead Applied Data Scientist

Computer and Information Technology (IT):
June, 2020 - December, 2021

Roles & Responsibilities

  • Led a data scientists and analysts team to deliver retail analytical solutions by applying advanced business analytics techniques and machine learning algorithms
  • Mentored and guided senior analysts, enabling them to develop their skills in data analysis, statistical modeling, and machine learning, ensuring the successful execution of complex projects
  • Collaborated closely with cross-functional teams, including business stakeholders, product managers, and engineers, to understand and translate business requirements into actionable data-driven insights and solutions
  • Designed and implemented scalable analytical models and algorithms, leveraging large-scale datasets and advanced analytics tools, to optimize retail operations, enhance customer experience, and drive business growth
  • Conducted regular performance reviews and provided constructive feedback to junior analysts, fostering their professional development and improving the overall team's productivity and efficiency
  • Stayed up-to-date with the latest advancements in data science, machine learning, and retail industry trends, incorporating new methodologies and techniques into the team's analytical workflows to ensure the delivery of cutting-edge solutions and maintain a competitive edge in the market

Skills

Python
Pyspark
SQL
Advanced Excel
Tableau
GCP
ML Algorithms
NLP
R
SAS
PowerPoint
Time Management
Team Management
Communication Skills

Education

Bachelor of Technology

Mechanical Engineering:
2009-2013

Projects

Posts

Courses

Data Analytics
SQL
Machine Learning
Advanced Excel
Data Visualization
Data Science
Python
Denodo
PySpark

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