Aaryan Anil — AI Researcher

With over 2.5 years of dedicated experience in data science, I have developed a robust foundation in leveraging advanced analytical techniques to drive insights and innovation. My journey in this dynamic field has equipped me with a diverse skill set, particularly in Data Science, Machine Learning, Natural Language Processing (NLP), SQL, Excel, and Power BI. I thrive on transforming raw data into meaningful insights that can inform strategic decisions and foster growth. Key Strengths: • Data Extraction and Processing: Proficient in extracting and processing data from various sources, including structured and unstructured data, to generate actionable insights. • Predictive Modeling: Skilled in building and deploying predictive models to forecast trends and behaviors, enhancing decision-making processes. • Machine Learning and Deep Learning: Hands-on experience with frameworks like TensorFlow and PyTorch, enabling the design, training, and deployment of models for diverse applications. Natural Language Processing: Expertise in NLP techniques, utilizing pretrained word embeddings such as BERT for tasks like text similarity and sentiment analysis. • Data Visualization: Adept at using tools like Power BI and Excel to create compelling visualizations that communicate complex data findings to stakeholders. • SQL: Strong ability to write efficient queries for data retrieval, manipulation, and analysis from relational databases. • Analytical and Problem-Solving Skills: Equipped with strong analytical skills to dissect complex problems and derive innovative solutions. I have demonstrated a passion for continuous learning and staying abreast of the latest advancements in data science. I excel at collaborating with cross-functional teams, effectively translating complex data findings into strategic business solutions. My commitment to leveraging data for actionable insights drives my enthusiasm for every project I undertake. I am eager to continue growing in this field, applying my expertise to contribute to impactful projects and drive organizational success. 🏆 Contact Me: aaryananil29@gmail.com 🔍 Open to Opportunities: Currently seeking Data Science and Data Analyst roles across India. Let's connect and explore how I can contribute to your team!

Stackforce AI infers this person is a Data Science and Analytics professional with a focus on Fintech solutions.

Location: Chennai, Tamil Nadu, India

Experience: 3 yrs 5 mos

Skills

Data Science
Machine Learning
Data Analysis
Digital Marketing

Career Highlights

Developed predictive models enhancing customer retention by 15%.
Created an Automated Face Attendance System reducing errors by 90%.
Increased social media engagement by 35% through strategic content.

Work Experience

Sutherland

Agentic AI Developer (10 mos)

Data Scientist - AIML (1 yr 7 mos)

Chaitanya Builders and Developers

Data Analyst (2 mos)

Google Developer Student Clubs PCE

Social Media Manager | LinkedIn Instagram Optimizer (1 yr)

Content Member (0 mo)

Education

Bachelor of Technology - BTech at Pillai College of Engineering

Science at Keraleeya Samajam Dombivlis Model College

Aaryan Anil

AI Researcher

Chennai, Tamil Nadu, India3 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed predictive models enhancing customer retention by 15%.
Created an Automated Face Attendance System reducing errors by 90%.
Increased social media engagement by 35% through strategic content.

Stackforce AI infers this person is a Data Science and Analytics professional with a focus on Fintech solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningData AnalysisDigital Marketing

Other Skills

Power BIPredictive ModelingAdvanced AnalyticsStatistical TechniquesStatistical AnalysisSQLGoogle AnalyticsSocial MediaLead GenerationInstagram MarketingSearch Engine Optimization (SEO)Large Language Models (LLM)gen aiMachine Learning AlgorithmsAttention to Detail

About

Experience

3 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

2 yrs 5 mos

Current Experience

Sutherland

2 roles

Agentic AI Developer

Jul 2025 – Present · 10 mos

Data Scientist - AIML

Dec 2023 – Jul 2025 · 1 yr 7 mos

As a finalist in the Sutherland Internal Hackathon, our team focused on deepening our understanding of Treasury Forecasting and Liquidity Management. We explored innovative strategies to enhance cash flow forecasting accuracy and optimize liquidity positions. By analyzing current practices and leveraging advanced analytics, we developed a framework that aims to streamline treasury operations, improve decision-making, and ultimately drive better financial outcomes for organizations. This project not only showcased our collaborative efforts but also highlighted the critical importance of effective liquidity management in today’s dynamic financial landscape.
Worked with a Fintech client to conduct an in-depth report on growth and factors contributing to fluctuations. Utilized Power BI to implement the report, collaborating with domain experts and a team of researchers.
Collaborated with the data science team to develop predictive models for customer churn and customer acquisition, providing an in-depth analysis of customer behavior and insights. Enhanced customer retention strategies by 15% through actionable insights derived from predictive modeling.
Created a comprehensive analytics report for Abu Dhabi's largest insurance company to analyze customer-raised ticket issues. Provided insights that resolved 20-30% of the recurring problems, improving customer satisfaction.
Developed an internal product Automated Face Attendance Tracking System, streamlining attendance management. The system reduced errors by 90%, cut processing time by 50%, and improved overall employee punctuality by 20%.
Collaborated with a credit card company to detect anomalies in transactions for over 50 customers. Employed advanced statistical techniques and machine learning models to identify fraudulent attempts, resulting in a 25% reduction in fraud-related losses and enhanced the fraud detection accuracy by 30%.

Power BIPredictive ModelingAdvanced AnalyticsStatistical TechniquesMachine LearningData Science

Chaitanya builders and developers

Data Analyst

Oct 2023 – Dec 2023 · 2 mos · Navi Mumbai, Maharashtra, India · Hybrid

One of the primary responsibilities I undertake is the analysis of customer purchase histories to develop detailed buyer personas. This involves examining various factors such as buying frequency, average transaction value, product preferences, and demographic information. By understanding these personas, we can tailor our offerings to meet the specific needs and preferences of different customer segments.
I also focus on identifying and analyzing customer behavior trends over time. This includes tracking changes in purchasing patterns, seasonality effects, and the impact of promotional activities. By understanding these trends, I provide actionable recommendations to optimize marketing efforts and improve sales performance.
In addition, I work on predicting customer behavior using machine learning models. By leveraging predictive analytics, I can forecast future buying patterns, identify potential churn risks, and suggest proactive measures to retain valuable customers. This has resulted in significant improvements in customer retention and lifetime value.

SQLGoogle AnalyticsData Analysis

Google developer student clubs pce

2 roles

Social Media Manager | LinkedIn Instagram Optimizer

Oct 2022 – Oct 2023 · 1 yr

Social Media Manager, Google Developer Student Club
In my role as Social Media Manager for the Google Developer Student Club (GDSC), I spearheaded the management and growth of our social media presence across multiple platforms, including Instagram, LinkedIn, and Linktree. My primary objective was to reach a wider audience and effectively communicate the club's progress, activities, and achievements to our community and beyond.
Instagram Management:
I strategically curated and managed the GDSC Instagram account, focusing on creating visually appealing and engaging content. This involved designing graphics, writing compelling captions, and utilizing Instagram Stories and Reels to highlight our events, workshops, and member achievements. By implementing a consistent posting schedule and leveraging relevant hashtags, I successfully increased our follower base by 40% within six months. Additionally, I engaged with followers through comments and direct messages, fostering a sense of community and encouraging participation in our activities.
LinkedIn Engagement:
On LinkedIn, I crafted professional and informative posts to share the club's milestones, upcoming events, and partnership opportunities. I collaborated with club members to create content that showcased their projects and experiences, enhancing the visibility of our talented community. My efforts resulted in a 35% increase in engagement and connections with industry professionals, potential sponsors, and other student organizations. I also utilized LinkedIn Analytics to track performance and refine our content strategy based on audience insights.

Social MediaLead GenerationDigital Marketing