Data Analytics
Data Science
Subodh Popalwar
Software Engineer, Memorres
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Data Science
Python
Deep Learning- Your responsibilities:
- Build, improve and extend NLP capabilities
- Research and evaluate different approaches to NLP problems
- Must be able to write code that is well designed, produce deliverable results
- Write code that scales and can be deployed to production
- Fundamentals of statistical methods is a must
- Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM
- A solid foundation in Python, data structures, algorithms, and general software development skills.
- Ability to apply machine learning to problems that deal with language
- Engineering ability to build robustly scalable pipelines
- Ability to work in a multi-disciplinary team with a strong product focus
Minimum of 8 years of experience of which, 4 years should be of applied data mining
experience in disciplines such as Call Centre Metrics.
Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.
Experience with leading and managing large teams.
Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.
Demonstrated experience with Business Intelligence/Data Mining tools to work with
data, investigate anomalies, construct data sets, and build models.
Critical to share details on projects undertaken (preferably on telecom industry)
specifically through analysis from CRM.
Machine Learning (ML)Data ScienceData AnalyticsLocation: Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
- To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
- Design and develop AI//ML models to be deployed across factories
- Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
- Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
- Prior experience in developing AI and ML models is required
- Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
- Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
- Multitasking, good communication necessary
- Entrepreneurial attitude
Additional Information:
- Travel: Must be willing to travel on shorter duration within India and abroad
- Job Location: Chennai
- Reporting to: Team Leader, Energy Management System
Data AnalyticsOur client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they're VC funded and based out of Singapore and India-Bangalore.
Founders are the alumnus of IIT-D, IIM-B and Wharton. They have 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi, VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They've a team of high-quality professionals coming together for this mission to disrupt the convention.
As a Data Analyst - Underwriting & Risk, you will be developing a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing products
What you will do:
- Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria.
- Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product.
- Back-testing investment appraisal models at regular intervals to improve the same.
- Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals.
- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle.
- Identifying relevant sub-sector criteria to score and rating investment opportunities internally.
What you need to have:
- Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory).
- Experience in working in lending/investing fintech (mandatory).
- Strong Excel skills (mandatory).
- Previous experience in credit rating or credit scoring or investment analysis (preferred).
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred).
- Proficiency in data analysis (preferred)
- Good verbal and written skills.
Google AnalyticsData AnalyticsAbout our Client:-
Our client is part of the global media agency with mission is to make advertising more valuable to the world. They do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. They hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. They promise you a workplace that invests in your career, cares for you and is fun and engaging.
About the role:-
- Accountable for quantifying and measuring the success of our executions and for delivering insights that enable us to innovate the work we deliver at Essence. You will be supporting analyses for campaigns and helping the development of new analytical tools.
Some of the things we’d like you to do :-
● Take ownership of delivery for designated clients/projects
● Collaborate with campaign team to identify opportunities where our analytics offering can add
value
● Gain an understanding of marketing plans and their objectives to be able to assist with comprehensive measurement, and test & learn plans
● Develop analytical techniques to analyze results from experiments/studies/observations
● Explore methods/techniques for solving business problems given the data available (potentially 3rd party)
● Help internal and external clients understand the capability and limitations of methods used
● Develop and present compelling and innovative presentations.
A bit about yourself :-
● Degree from a top-tier College, 3.0 GPA or equivalent (preferably numerical)
● Proficiency with systems such as SQL, Social Analytics tools (Crimson Hexagon), Python, and ‘R’
● Have some understanding of marketing campaigns and their objectives
● Strong analytical skills - ability to analyze raw data, find insights, and provide actionable strategic recommendations
● Ability to manage someone effectively to bring out the best in their skill sets, motivating them to succeed, and keeping their focus
● Strong work ethic, with ability to manage multiple projects, people, and time zones to meet deadlines and deliver results
Data AnalyticsData ScienceSquare Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India
and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We
have 3000+ schools under our belt and are proud to cater the needs of English Language
development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics
learning system comes equipped with educational games to teach children many essential skills.
With a curriculum that has been specially adapted for Indian schools and children, we strive to
empower beginner learners through phonics awareness.
Responsibilities
o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.
o Actively champion adoption of the analytics solutions across various markets and functions
o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.
o Excellent project management and executive communication skills.
o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)
o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors.
o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence
o Develop research strategies to ensure internal understanding of customer and competitor insights
o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.
o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.
o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management
o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.
o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions.
o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.
Desired Profile
o 6-8 years of experience in executing multiple analytics projects end to end
o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply
o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects
Data ScienceMachine Learning (ML)Python
R ProgrammingHigh Level Scope of Work :
- Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
- Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
- Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
- Gather additional and external data sources to support the AI/ML Model as desired .
- Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
- Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)
Required technology expertise :
- Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
- Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
- Strong Database Development knowledge using SQL and PL/SQL
- Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
- Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
- Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
- Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
- Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
- Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.
Qualifications
- Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
- Certified as DATA SCIENTIST or MACHINE LEARNING Expert.
Deep LearningData ScienceData ScienceR Programming
Data SciencePython
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Software Engineer, Memorres