Harnessing the power of Machine Learning & AI to drive Experiential Analytics Solutions
Analyttica Datalab Inc. is a Data Analytics & AI solutions company. Our flagship product,
Analyttica TreasureHunt ® LEAPS
is patented for innovation in experiential analytics. The deep
technology platform with a powerful AI engine at its core offers a holistic ecosystem for learning, application, and solution development needs.
-Rajeev Baphna
Founder & CEO, Analyttica
With more than 200 thousand global users since launch and continuous addition every day, LEAPS has proven to have strong adoption across enterprises, individuals, and universities.
Patent, Trademark & Certification
Analyttica Treasurehunt (ATH) is a Contextual AI Platform enabled by Data Analytics and Machine Learning Frameworks. It is built using US patented design to support an iterative Experiential Approach
US Patent 1 – #9,886,867
Experiential Analytics Approach, With Embedded Training & Knowledge Immersion Framework
Registered Trademark Of Analyttica Datalab
Analyttica®
LEAPS™
TREASURE HUNT®
TEXIGHT®
Data Science In Motion®
Recent
Accolades
LEAPS – Key Value Propositions
- Innovative experiential learning
- Structured courses for industry readiness
- Ability to upload one’s own data and create projects
- Ability to convert real projects to simulations/ institutionalising all knowledge
- Innovative, personalised and gamified UX/UI
LEAPS
Traction
200K+ Data Science enthusiasts on LEAPS (since launch in April 2020).
One of the largest conglomerates in India uses LEAPS to address their Analytics Upskilling needs.
Large Healthcare company in USA uses it for solutioning and learning.
Leading partner for the government of India backed ambitious skilling initiative called NASSCOM FutureSkills.
Rajeev Baphna
CEO, Founder
Rupal Baphna
Director, CAO
Chaitanya Pathak
CTO
Rajan Gupta
Vice President – Research & Analytics
Madhav Kaushik
Vice President – Client Solutions
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Our Services
Capabilities across verticals to design & deploy sophisticated analytics & AI solutions to deliver real business impact
An average of 20+ years of experience and a proven track record of building and growing off-shore analytics service delivery and consulting practices
Service Delivery
- Full Time Staff Augmentation (FTE) based engagement – Extension of client on-shore team
- Dedicated Engagement Managers, Analysts and Data Scientists are allocated, as required, to enable the delivery
- Services delivered based on SLA with the transparent governance model
Project Delivery
- Project-based and time-bound engagements
- Elastic team composition – Dedicated Engagement Lead, to lead a team of data scientists and Business analysts, as required, to enable project delivery and solutions
- Project scope & solution objective aligned as part of SoW
Readiness on Global Vendor Empanelment
- Adherence to global standards on Info Security & Compliance
- ISO 27001 Certified
- Best practices around Talent Hiring & Onboarding
- Robust & streamlined process for Finance and legal operations
Interested to see how it works ?
Our offerings encompass contextual skilling, application, and solution
needs for Analytics & AI across industry verticals and functional areas
Case Studies - Impact
Utilizing TEXIGHT® for Sentiment Analysis for generating effectiveness and efficiencies in the Financial Research process for a mid sized financial company
TResearch teams at Asset Management firms spend a lot of time reading through news articles and even social media to determine the alpha. However, the process is highly manual and time consuming.
To address this issue we have created an NLP based solution which leverages the news articles (latest) and twitter data to calculate the sentiment score for a financial company and this sentiment score may then be used in evaluating the alpha.
TEXIGHT® was leveraged to carry out the analysis and a solution was built by leveraging the following components
Creation of Text Corpus | Data pre-processing | Sentiment Scoring | Model Validation
Improving Satisfaction Level for Customers of a World-Wide Hotel Chain
The Client, providing service to over 20MM guests worldwide, wanted analytics driven process to identify the scope of improving customer satisfaction level through better service. Analyttica’s proprietary text analysis and sentiment engine (TEXIGHT®) could analyse customer reviews from social media handles to identify negative reviews with the help of NLP in almost real time and send them to respective team to resolve.
Reserved 5 FTE, Saved~$2MM expenses. Customer satisfaction score Up by 10 bps
Leverage of TEXIGHT® to build a framework to explain Natural Language Processing Models using LIME and SHAP algorithms for a mid sized Technology company.
With the simultaneous rise of data and computation power, organizations and practitioners are leveraging the same to model the patterns in data and “educate” machines, using complex machine learning and deep learning techniques such as tree-based models and neural networks.
However, due to the black box nature of these models, it is relatively difficult to convince stakeholders to trust the predictions – especially crucial in mission critical settings such as Healthcare, Finance, Criminal Justice System, Autonomous cars and many more.
In this use case, we leveraged TEXIGHT® to build a prototype solution for a mid sized Technology company to delve into a framework to explain the decisions taken by NLP models on a binary classification dataset using LIME and SHAP.
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Application of SVM in Breast Cancer Detection
Application of SVM in Breast Cancer Detection Published by Analyttica February 24, 2023 Posted by: admin Category: Data Science No Comments Compared to the 1900s, it is safe to assume that, at present, the world healthcare system is at its peak. Modern medicine is making ground-breaking discoveries and tackling deadly diseases every step of the
February 24, 2023 -
A Guide to Customer Churn Prediction for Telecom Enterprises
What is this highly valuable asset? Its own people. Says Morgan Fraud, the author of The Thinking Corporation, “Given that we are all capable of contributing new ideas, the question becomes how do you successfully generate, capture, process and implement ideas?”
February 24, 2023 -
How ML is helping insurance claims during natural calamities
What is this highly valuable asset? Its own people. Says Morgan Fraud, the author of The Thinking Corporation, “Given that we are all capable of contributing new ideas, the question becomes how do you successfully generate, capture, process and implement ideas?”
February 9, 2023
The courses on the platform are interactive and helped me gain exposure to industry-grade learning
The course was nicely structured and also implemented learning through case studies given in the course
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