Anukriti Thakral

Work History

Deloitte Touche Tohmatsu Limited

06.2024 - Current

Revenue Forecasting - Developed time series forecasting models using ARIMA and SARIMA in Python to predict revenue trends with improved accuracy for strategic decision-making and forecasting monthly revenue trends.
Fake Taxpayer Detection - Implemented unsupervised learning techniques such as clustering to detect anomalies and identify potential fake taxpayer identification entities along with rule based and functional knowledge.
Image Matching for Identity Verification - Built an image comparison pipeline using Python libraries- Arc Face to verify identity by analyzing photo similarity across Aadhaar card and tax registration documents.
Text Extraction from Utility Bills - Designed an automated pipeline to extract text from electricity bills using OCR tools in Python and Google cloud, aiming to identify and extract KNO and other key details for document processing.
Streamlined dashboard development processes by integrating BI tools and automating data workflows, enabling decision-makers to access critical insights faster and with heightened accuracy.
Accomplished multiple tasks within established timeframes.

Angel One

11.2023 - 06.2024

Analyzed trading behavior, investment patterns, and feature performance using transactional and behavioral data; automated daily/monthly Tableau dashboards querying from Amazon Redshift to monitor key financial KPIs such as order volume, user acquisition, and portfolio activity.
Created event-tracking mechanisms and led PRD metric walkthroughs, focusing on key performance indicators such as user engagement, feature adoption, and conversion rates.
Collaborated with product, engineering, and QA teams to test and optimize app features, proactively identifying performance gaps and implementing enhancements that improved order volume and retention.
Synthesized user feedback, market trends, and funnel data to drive iterative product improvements; collaborated across design and engineering to improve investor experience and increase activation, retention, and average revenue per user (ARPU).

Axtria - Ingenious Insights

08.2023 - 11.2023

Working as Digital Data SME for a US based client where data from different digital sources will get aggregated into a common data model and then creating Domain and Solution ARDs using the data.

Junglee Games

12.2021 - 07.2023

Acquisition Marketing Analytics: Analyse user data to drive insights into how to target effectively, retain customers at an optimised cost, and optimize engagement metrics
Conversion Funnel Analysis: In depth analysis and improvement of user conversion funnel and Game play, Customer Retention Rate, Player Value KPIs and User Game Play metrics
A/B Testing: Own AB tests relating to the acquisition of users and take ownership of impact analysis
Identifying better performing campaigns, doing A/B tests on deposit titles and reporting the retention and player value drop across channels and states
Creating a growth funnel at source and state level to calculate the impact of Registrations, Conversions and the journey of the user from Day 0 to Day 7 and so on
Automating and creating reports and graphs using Tableau, SQL, MicroStrategy and R/Python.

Axtria - Ingenious Insights

05.2018 - 12.2021

Developing a multi-touch attribution approach for one of the leading pharma companies in the US to credit brand sales on each contributing digital marketing channel such as paid search, online video, banner ads and paid social ads by identifying the consumer and physician pre-click journey, post-click journey and the valuable engagement with the website
Identifying website engagement metrics for a leading pharma company’s website to identify and optimize engagement of visitors by using regression while considering the source of traffic, website journey and initiating/completing key tasks within the website
Collaborating in the Multi–Channel Market Mix Modelling for the client, thereby evaluating the relationship between response and promotion channels through techniques like regression
Performing a Facebook Campaign Deep Dive Analysis through Classification and Regression Tree for Machine Learning by looking at variables like age, gender and region
Classifying, measuring and recommending improvement plans for KPIs across all business areas
Processing complex data sets using advanced querying, visualization and analytics tools.

IBM

07.2016 - 04.2018

Coordinating with users for system study, requirements gathering, analysis & testing of applications and managing smooth implementation.