AISWARYA L.

Associate Consultant

Delhi, India3 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Data Science.
Proven track record in mentoring and guiding teams.
Strong analytical skills with hands-on project experience.

Stackforce AI infers this person is a Data Science and Machine Learning specialist in the Fintech sector.

Contact

Skills

Core Skills

Data AnalysisBusiness AnalysisMachine LearningData ScienceComputer VisionWeb DevelopmentNatural Language Processing (nlp)

Other Skills

AWS S3Analytical SkillsArtificial Intelligence (AI)BERTC++Data Pre-processing and visualizationData VisualizationDataset Cleaning and Pre-processingDebuggingFeature EngineeringJavaKerasLinear RegressionLinuxLogistic Regression

About

Passionate about leveraging advanced analytics to solve complex business challenges.

Experience

3 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

3 yrs

Current Experience

Wells fargo

3 roles

Analytics Consultant

Jun 2024 – Present · 2 yrs · Bengaluru, Karnataka, India

Branch Banking Analytics

Analytical SkillsBusiness AnalysisTableauPython (Programming Language)Statistical Data AnalysisData Analysis+2

Program Associate

Jun 2023 – Jun 2024 · 1 yr · Bengaluru, Karnataka, India

Analyst Intern

Jun 2022 – Aug 2022 · 2 mos

During my 9-week internship at Wells Fargo under the Wholesale Banking Sector, I contributed to the Equipment Finance division of Wells Fargo Commercial Capital. The objective of my project was to Predict Potential Customers for Wells Fargo using machine learning techniques.
Key Contributions:
Conducted exploratory data analysis and pre-processed the data by detecting and treating outliers and missing values using Winsorization.
Learned about different feature engineering techniques, such as Lasso, Information Value, and Pearson Correlation, and selected the appropriate technique based on the business requirements.
Experimented with various machine learning models and evaluated their performance to determine the best model for the prediction task.

Analytical SkillsTeamworkNumPyData VisualizationArtificial Intelligence (AI)Feature Engineering+8

Lean in @igdtuw

Mentor

Aug 2022 – May 2023 · 9 mos · Delhi, India

Providing my juniors with guidance and resources to help them excel in the field of Machine Learning by conducting hands on sessions to provide them deeper insights in to the field of ML.
Key Contributions:
Mentored a group of junior members to develop their skills in Machine Learning.
Conducted successful hands-on sessions that helped participants gain practical knowledge and understanding of the field.
Guided them in completing a Machine Learning based Project.

Analytical SkillsTeamworkNumPyData VisualizationArtificial Intelligence (AI)Dataset Cleaning and Pre-processing+7

Asmadiya technologies

AI/ML Intern

Jun 2021 – Aug 2021 · 2 mos

As an AI/ML Intern, I worked on project involving object detection, segmentation, dataset cleaning, and model training using Keras and TensorFlow on Linux. The projects required me to implement various computer vision techniques to process images and extract meaningful information from them.
Key Contributions:
Developed and implemented computer vision algorithms for object detection, segmentation, and other tasks, resulting in accurate and reliable results.
Cleaned and pre-processed large datasets to prepare them for model training, ensuring that the models receive high-quality input data.
Trained deep learning models using Keras and TensorFlow, optimizing the model architectures and hyperparameters to achieve high performance.
Utilized Docker for containerization, allowing for efficient and consistent deployment of the developed models.

Analytical SkillsTeamworkData VisualizationArtificial Intelligence (AI)Dataset Cleaning and Pre-processingLinux+12

Microsoft

Microsoft Engage Mentorship Program

Jun 2021 – Jul 2021 · 1 mo

Project Title: Video Chatting Web Application
Description:
Under the guidance of Microsoft Mentors, contributed towards the development of a video chatting web application using WebRTC, Socket.io, and PeerJS. The project involved creating a real-time communication system that enables users to have seamless video calls with each other.
Key Contributions:
Developed the front-end of the web application using HTML, CSS, and JavaScript, providing an intuitive user interface and experience.
Integrated the WebRTC, Socket.io, and PeerJS libraries to enable real-time communication between users.
Debugged and fixed various issues in the application, ensuring that it functions smoothly.
Demonstrated strong teamwork and collaboration skills by working effectively with Microsoft Mentors.

Web DevelopmentTeamworkDebuggingRemote TeamworkVirtual Collaboration

Freshlybuilt

Data Science Intern

Jun 2020 – Aug 2020 · 2 mos · Delhi, India · Remote

Project Title: Automatically-generating questionnaire using Natural Language Processing
Description:
As part of a project team, contributed towards the development of an automated system that generates a questionnaire from input text using Natural Language Processing techniques. Specifically, leveraged suitable transformers in NLP to develop a BERT-based model that can generate multiple-choice questions.
Key Contributions:
Developed and fine-tuned the BERT-based model to accurately generate questions from the input text.
Optimized the model to ensure that it generates questions that are relevant to the text and of appropriate difficulty level.
Demonstrated expertise in NLP and ability to apply it to real-world problems.
Created a detailed project notebook showcasing the model architecture and steps involved in training and testing the model. The notebook can be found on nbviewer.org at https://nbviewer.org/github/aiswaryal/Generating-Q-A-using-BERT/blob/main/Final_mcq.ipynb.