Ankita Yadav

Data Scientist

Gurgaon, Haryana, India6 yrs 10 mos experience

Key Highlights

Proven track record in data-driven decision making.
Expertise in NLP and predictive modeling.
Strong communicator bridging technical and non-technical stakeholders.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and E-Commerce sectors.

Contact

ankita.yadav@autodesk.com LinkedIn

Skills

Core Skills

Data AnalysisNlpData ManipulationMachine Learning

Other Skills

SQLThinking SkillsPredictive ModelingLinear RegressionProcess ImprovementNetwork ModelingLinear ProgrammingDemand ForecastingTrainingAutomationPythonSkilled Multi-taskerDashboard DevelopmentData PipelinesQuick insights

About

Dedicated and results-driven business analyst with a proven track record of enhancing business processes and driving data informed decision making. Skilled in data analysis, requirement gathering, and process improvement. Adept at translating complex data into actionable insights to support strategic planning and operational efficiency. Strong communicator and team player with keen ability to bridge the gap between technical and non-technical stakeholders. Seeking opportunities to leverage my analytical expertise to contribute to business growth and success SKILLS developed through:  Business Projects Exploratory data analysis | Data visualization | Building interactive and dynamic dashboards through R shiny and power BI | Sentiment analysis (by combining dictionary and machine learning approach)  Case Studies Regression (Ridge and Lasso) | Logistics Regression | Decision tree| Bagging | Random forest | Boosting | Statistical tests (Parametric and Non-Parametric) | Hypothesis testing | Time series and forecasting | Principal component analysis | Deep Learning Major graduation subjects: Descriptive Statistics | Econometrics | Statistical inference | Multivariate analysis | Time series and forecasting | Financial statistics | Probability and probability distribution | Design of experiments | Sampling distribution | Survey Sampling | Calculus Statistical tools R | SPSS Data visualization tools Power BI, ggplot2, R shiny Other tools: Python, SQL

Experience

6 yrs 10 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 5 mos

Current Experience

Autodesk

Senior Data Analyst

Dec 2024 – Present · 1 yr 5 mos

SQLData Analysis

Citi

Senior Business Analyst

Jun 2022 – Dec 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

1. Capacity planning: Developed a predictive simulation model for the workforce
management team to forecast the #FTE required for handling account opening
requests in 2024, leveraging techniques like Moving average, linear regression.
2. Successfully pinpointed the primary driver behind 1.1 million complaints through
NLP and formulated a model to extract and categorize complaint themes from
complaint extracts.
3. Building on the previous project's finding, uncovered process inefficiencies within
the leading complaint driver and provided recommendations resulting in potential
cost savings of $11.6M, serving as project lead
4. Mentoring juniors to bring them up to speed and mentoring them.

Data ManipulationThinking SkillsData AnalysisNLP

Swiggy

Business Analyst

Jul 2019 – Jun 2022 · 2 yrs 11 mos · Bengaluru, Karnataka, India

> Network modelling: To come up with an optimal number of pods required for the meat along with its location using mixed-integer LP
> Built a model to measure the catalogue quality of a store to measure the relative performance of the store compared to other stores in a similar zone/subzone or to identify category/subcategory to be stocked up to improve the score/ how much to be stocked up
> Demand forecasting: Forecasted the demand of SKUs/entity at a day level
> SQL training and query repository: Created a query repository for the team and stakeholders with the set of frequently used queries and organised a SQL training session for the stakeholders to train them to handle data pull requests from the repository and to make them independent to write small queries on their own
> Automations: Worked on a number of automation tasks like sending automated mailers through python, automated G-sheets using python

Data ManipulationThinking SkillsData Analysis

Avl

Data Science trainee

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

1. Contributed to the development of Machine learning algorithms and Deep learning followed by sentimental analysis and creating real time dashboards.
2. Understanding and deriving insights from Data collected by company.
3. Analysing the data related to the program implementation and translate analysis into actionable solutions.

Thinking SkillsSkilled Multi-tasker