CV

Professional Summary

Innovative and results-driven Data Analyst, AI/ML Engineer, and Cloud Developer with expertise in machine learning, artificial intelligence, cloud computing, and full-stack development. I am aspiring to work with data-driven, forward-thinking businesses to implement AI-powered solutions, optimize workflows, and enhance automation—driving impactful innovation, scalability, and revenue.

Proficient in Python, SQL, TensorFlow, PyTorch, Docker, AWS, Kubernetes, Node.js, and RESTful API development, with a strong background in data analytics, backend development, and scalable cloud infrastructure. Adept at transforming raw data into actionable insights and developing high-performance, scalable solutions that fuel digital transformation.

Committed to delivering cutting-edge, efficient technology while collaborating with cross-functional teams to create seamless user experiences. Seeking opportunities to apply expertise in AI, machine learning, cloud computing, and data-driven strategies to drive business growth.

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Skills

🚀 Artificial Intelligence (AI)

Expertise in deep learning architectures, including artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and attention mechanisms for tasks like image recognition, object detection, and speech processing. Proficient in natural language processing (NLP) techniques such as tokenization, named entity recognition (NER), sentiment analysis, text summarization, and sequence-to-sequence modeling. Experienced in reinforcement learning applications using policy gradient methods, Q-learning, and actor-critic algorithms for optimizing decision-making processes. Strong understanding of generative AI models, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for synthetic data generation and creative AI applications.

🤖 Machine Learning (ML)

Skilled in supervised learning (classification, regression) and unsupervised learning (clustering, anomaly detection) using decision trees, random forests, support vector machines (SVMs), XGBoost, and k-means clustering. Proficient in feature engineering techniques such as one-hot encoding, TF-IDF vectorization, word embeddings (Word2Vec, FastText, BERT), dimensionality reduction (PCA, t-SNE, UMAP) to enhance model performance. Experienced in hyperparameter tuning using GridSearchCV, Bayesian optimization, and genetic algorithms to optimize model efficiency. Applied ensemble learning methods (bagging, boosting, stacking) to improve predictive accuracy.

📊 Data Science & Analytics

Expert in data preprocessing and cleaning, handling missing values, outlier detection, and data normalization using Pandas, NumPy, and SciPy. Experienced in exploratory data analysis (EDA), leveraging descriptive statistics, correlation analysis, and feature selection techniques to uncover patterns and trends. Skilled in predictive modeling, implementing logistic regression, linear regression, time series forecasting (ARIMA, Prophet, LSTMs), and anomaly detection algorithms. Adept at hypothesis testing, A/B testing, and statistical inference to drive data-driven decision-making.

☁️ Cloud & DevOps

Experienced in deploying scalable machine learning models and web applications on AWS, GCP, and Azure. Proficient in AWS services such as EC2 (virtual servers), S3 (cloud storage), RDS (managed databases), Lambda (serverless functions), DynamoDB (NoSQL databases), API Gateway, and Route 53 (DNS management). Expertise in Docker for containerization and Kubernetes for container orchestration, ensuring scalable and efficient deployments. Skilled in CI/CD pipelines using Jenkins, GitHub Actions, and Terraform for automated deployment and infrastructure as code. Experienced in serverless computing for cost-effective cloud solutions.

🖥️ Backend Development

Proficient in RESTful API development using Node.js, Express.js, and Flask, enabling seamless communication between front-end and back-end systems. Strong experience in database management, working with SQL-based relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB) for high-performance data storage and retrieval. Implemented authentication and security protocols including JWT, OAuth, AWS Cognito, and role-based access control (RBAC). Expertise in real-time data processing using WebSockets, Redis, and event-driven architectures.

📈 Data Visualization & Business Intelligence

Skilled in creating interactive dashboards and reports using Tableau and Power BI, translating complex datasets into actionable business insights. Proficient in Python-based visualization tools, including Matplotlib, Seaborn, and Plotly, for trend analysis and exploratory data analysis. Experienced in designing real-time data dashboards that integrate with cloud-based data sources, enhancing decision-making efficiency.

🛠️ Programming & Tools

Strong command of Python (Pandas, NumPy, SciPy, TensorFlow, PyTorch, Scikit-learn), R (ggplot2, caret, tidymodels), SQL (PostgreSQL, MySQL, SQLite), and JavaScript (Node.js, Express.js). Familiar with big data processing using Apache Spark and Hadoop for large-scale data analytics. Skilled in version control and collaboration using Git, GitHub, and Bitbucket.

Education

📍 Lotus Valley International School (2015–2017)

Degree: Year 10 & Year 12
Grade: 10/10 GPA (Year 10), 93.5% (Year 12)
Subjects: Advanced Physics, Advanced Chemistry, Advanced Mathematics, Computer Science, English
Achievements:

Super Scholar Blazer Holder for 5 consecutive years
Cash Prize for securing 10 CGPA in Year 10

📍 Amity University (2018–2021)

Degree: Bachelor of Business Administration (BBA)
Major: Business Information Systems
Grade: 8.5/10 CGPA (First Division)
Achievements:

100% Scholarship for Academic Excellence
Class Representative for all 3 years

📍 University of Queensland (2022)

Degree: Graduate Certificate in Business Information Systems
Achievements:

$10,000 Scholarship for Academic Excellence
Selected for the Future Leaders Program

📍 Queensland University of Technology (2023–2024)

Degree: Master of Data Analytics
Specialization: Computational Data Science, Artificial Intelligence, Machine Learning
Grade: 6.0/7.0 GPA
Achievements:

High Distinction in:
- Artificial Intelligence & Machine Learning
- Cloud Computing
- Human Information Interaction
- Object-Oriented Programming
- Databases (SQL)

Work Experience

📍 PowerData Group Consulting (April 2025 – Present)

Position: Analytics and Python Developer
Location: Melbourne, Australia (Remote)

Focused on data analytics and automation using Python. I collaborate with the analytics team to build scalable tools and contribute to data-driven projects across various domains.
Designed and developed a custom web scraper to automate the extraction of structured business data from dynamic web portals, cutting manual effort by 95 %.
Implemented multi-tab scraping and dynamic content handling using Selenium to ensure accurate data capture across multiple sections.
Enabled automated export of extracted data into organized CSV and Excel formats, including time-stamped folders for version control.
Built a user-configurable interface to control scraping scope, supporting both real-time and historical data analysis needs.
Developed a Python-based email automation tool to streamline outreach and communication workflows with external stakeholders.
Actively support ongoing enhancements, user feedback integration, and maintenance for reliability and scalability.

📍 SOL Edu & Migration (Jul 2022 – Nov 2022)

Position: Data & Admissions Consultant
Location: Brisbane, Queensland, Australia

Utilized CRM analytics, reports, and dashboards to track student inquiries, visa approvals, and admissions trends, enabling data-driven decision-making in student placement strategies.
Extracted, organized, and structured student data from an in-house DBMS, ensuring accurate profiling and improved insights for course recommendations.
Analyzed student profiles using Advanced Excel (pivot tables, VLOOKUP, data validation) to identify trends and optimize admission guidance based on past enrollment data and success rates.
Streamlined the admissions process by implementing structured data workflows, improving student experience and efficiency in tracking application status.

📍 Great Learning (Jul 2021 – Jan 2022)

Position: Business Development Consultant – Data Analytics & AI
Location: Gurugram, Haryana, India

Achieved revenue worth AUD 211,000 (INR 1,13,95,000) in 5 months, exceeding monthly targets by 130%.
Consulted and guided experienced professionals (10+ years) on Postgraduate Certifications in Data Analytics, Artificial Intelligence, and Machine Learning from UT Austin, gaining significant exposure to these domains.
Applied data-driven sales strategies, leveraging predictive analytics to assess lead conversion trends, optimize customer outreach, and develop customized learning paths based on industry background and upskilling needs in AI & Data Analytics.
Created performance dashboards using Tableau and Power BI to track sales conversion rates, improving decision-making and marketing strategies.

📍 Bent Chair (Apr 2020 – May 2020)

Position: Data Analytics & Marketing Intern
Location: Delhi, India

Conducted consumer behavior analysis using Advanced Excel and Google Analytics, identifying patterns in purchasing habits to refine data-driven branding strategies.
Utilized SEO analytics tools to assess digital reach, applying trend analysis techniques to optimize website visibility and engagement.
Extracted and processed survey data from customer feedback, leveraging insights to support targeted marketing campaigns and product positioning.
Designed structured data reports to visualize engagement metrics, enabling marketing teams to refine content and advertising strategies.

📍 PeopleResources (May 2019 – Jul 2019)

Position: HR & Digital Analytics Intern
Location: Noida, India

Developed HR performance dashboards using Advanced Excel to track employee engagement, onboarding efficiency, and recruitment trends.
Implemented structured hiring analytics, utilizing resume parsing and AI-based filtering techniques to streamline candidate evaluation.
Conducted sentiment analysis on social media engagement to assess corporate branding and public perception.
Optimized corporate social media strategies based on engagement data, leading to improved outreach and talent acquisition effectiveness.

📍 Fen Next (Mar 2017 – May 2017)

Position: Data-Driven Marketing Intern
Location: Noida, India

Performed market analysis using statistical modeling to identify consumer behavior trends and optimize digital marketing efforts.
Applied predictive analytics to SEO campaigns, analyzing keyword performance and web traffic trends through Google Analytics.
Assisted in A/B testing and campaign optimization, ensuring data-backed marketing decisions were implemented effectively.
Designed interactive marketing dashboards to track campaign performance and enhance data-driven decision-making.

Leadership & Community Engagement

Chief Events Manager | UQ Business School Postgraduate Association (UQ BSPA) | 12 Months

Planned and executed networking and professional development events, enhancing engagement among postgraduate students.
Managed cross-functional teams and coordinated with stakeholders to ensure seamless event logistics and successful turnouts.
Implemented targeted marketing and outreach strategies, increasing student participation by 30%.

UQ Respect Ambassador | The University of Queensland

Promoted a culture of inclusivity and respect by leading awareness campaigns and workshops on campus.
Provided peer support and resources to students, fostering a safe and welcoming university environment.
Collaborated with university leadership and student organizations to implement initiatives focused on well-being and community engagement.

Donation Drive Volunteer | Brisbane, Australia

Organized and participated in local charity donation drives, collecting and distributing essential supplies to underprivileged communities.
Collaborated with local organizations to maximize outreach and impact, ensuring efficient distribution of resources.

Donation Drive Volunteer | Noida & Delhi, India

Led and coordinated donation drives for underprivileged families, ensuring effective collection and distribution of food, clothing, and essential supplies.
Worked with NGOs and community groups to raise awareness and increase contributions, benefiting over 500 individuals.