2 Market Basket Analysis Jobs nearby Gurgaon

As a Product & Research Analyst at Wise FinServ, you will play a crucial role in supporting investment research, financial planning, retirement strategies, and portfolio analysis. Your strong analytical capabilities and understanding of financial markets will be key in transforming data into actionable insights for the benefit of our clients. Key Responsibilities: - Conduct detailed research on various financial instruments including mutual funds, equities, debt instruments, and wealth management products. - Track macroeconomic trends, market movements, and regulatory developments affecting the capital market. - Prepare research reports, market updates, and thematic insights for both internal and client-facing purposes. - Perform portfolio reviews, analyze asset allocation, return on investment, and assess risks. - Assist in developing financial and retirement planning strategies tailored to client profiles. - Aid in creating model portfolios and customized recommendation baskets aligned with market conditions and client objectives. - Evaluate third-party investment products based on performance, suitability, risk parameters, and client needs. - Create product comparison frameworks and suitability matrices to assist advisors in making informed recommendations. - Support the enhancement of internal product notes, financial planning modules, and research repositories. - Collaborate with advisory, sales, and compliance teams to ensure smooth product delivery. Qualifications Required: - Bachelor's/Master's degree in Finance, Economics, Commerce, Business, or B.Tech with a strong analytical aptitude. - Preferably hold NISM certifications (Series NISM Series XV, NISM Series XIII X-A, X-B). - Additional qualifications like CFP, CFA/FRM (Level 2 or ongoing) are advantageous. In addition to the qualifications, you should possess: - Proficiency in data analysis and financial modeling. - Strong command over MS Excel, Google Sheets, and financial databases. - Experience in data visualization tools such as Power BI, Tableau, or advanced Excel dashboards. - Ability to interpret numbers, identify trends, and convert raw data into insights. - Understanding of risk metrics, asset allocation concepts, and investment strategies. Your core competencies should include: - Strong understanding of financial markets and investment products. - Excellent communication, report-writing, and presentation skills. - Detail-oriented mindset with the ability to work with large data sets. - Ability to work independently on analytical projects in a fast-paced environment.,

As an Asst. Manager/Sr. Executive - BD in the Commodity Chemicals business unit, reporting to the DGM, your role involves developing and generating business for commodity chemicals products. Your responsibilities include: - Developing/generating business through planning and implementing strategies for growth via the product lines of leading principals represented by the company. - Meeting top-line volume and value targets for the regions/products assigned for the financial year. - Planning and implementing sales strategies for new customer acquisition and maximizing sales potential from existing customers. - Ensuring regional expansion to increase reach and distribution in line with the business strategy. - Generating monthly, quarterly, and annual sales forecasts and ensuring their effective implementation. - Developing new key accounts and ensuring sustainable growth and profitability. - Conducting product gap analysis for existing industries catered to and providing input to the HOD. - Developing market intelligence, conducting competitor analysis, and identifying unique selling propositions for the product basket. - Coordinating with the customer services team/warehouse for dispatch-related matters and ensuring stock quality. - Conducting planned customer visits, participating in sales review meetings, and trade shows/exhibitions to promote products and generate new business leads. Your skills and expertise should include: - Hands-on experience in Commodity chemicals with exposure to products like PVA, Acrylates & Monomers, Epoxy Resin, Ethyleneimine, etc. - Good communication, strategic prospecting, analytical, problem-solving, and negotiation skills. - A growth mindset to address role challenges effectively. You will face challenges in maintaining effective customer relations management and ensuring coordination with internal and external stakeholders to achieve business objectives.,

Role Overview: You will be joining the HLRP Business Intelligence team as a Senior Business Intelligence Analyst, where you will play a crucial role in aligning with stakeholders across various departments to effectively monetize data assets. Your primary responsibility will be to lead complex analytical projects and drive innovation in data analytics. Your expertise in solving complex analytical problems and leveraging machine learning algorithms will be essential in delivering actionable insights to support data-driven decision-making processes. Key Responsibilities: - Solve complex analytical problems by utilizing advanced data science techniques. - Lead projects related to recommender systems, customer segmentation, product bundling, and price sensitivity measurement. - Apply machine learning algorithms such as Collaborative Filtering, Apriori, Market Basket Analysis, and various clustering techniques. - Demonstrate proficiency in Python, PostgreSQL, Advanced Excel, Power BI, Tableau, and ongoing upskilling in PySpark and financial problems. Qualifications: - 6+ years of experience in Analytics Consulting with a focus on data science and complex problem-solving. - Proficient in Python, PostgreSQL, Advanced Excel, Power BI, and Tableau. - Hands-on experience with machine learning algorithms and data science techniques. - Bachelor of Technology in Mechanical Engineering from the National Institute of Technology Surat or equivalent. - Strong communication, documentation, and problem-solving skills. (Note: Any additional details of the company were not present in the provided Job Description),

You are seeking a highly skilled AI/ML Engineer with a strong background in statistical modelling, machine learning algorithms, and scalable data engineering. As an AI/ML Engineer, your responsibilities will include designing, developing, and deploying end-to-end Big Data and Machine Learning solutions at an enterprise scale. You will also be building and maintaining Big Data preprocessing and ETL pipelines to ensure consistency, reproducibility, and data quality. Additionally, you will work on advanced analytical use cases such as Churn Modelling, Risk & Fraud Modelling, Propensity Modelling, Market Basket Analysis, Recommender Systems, Time Series Forecasting, Anomaly Detection, Segmentation & Campaign Planning, among others. It is essential for you to implement and optimize statistical and econometric models, as well as develop and fine-tune classical ML models using various algorithms. Collaboration with cross-functional teams to integrate ML solutions into production systems will also be a part of your role, along with conducting automated testing, model validation, and performance optimization. Key Responsibilities: - Design, develop, and deploy end-to-end Big Data and Machine Learning solutions at enterprise scale. - Build and maintain Big Data preprocessing and ETL pipelines ensuring consistency, reproducibility, and data quality. - Work on advanced analytical use cases such as Churn Modelling, Risk & Fraud Modelling, Propensity Modelling (Up-sell/Cross-sell), Market Basket Analysis, Recommender Systems, Time Series Forecasting, Anomaly Detection, Segmentation & Campaign Planning. - Implement and optimize statistical and econometric models including GLMs, Bayesian modelling, clustering, causal inference, hypothesis testing, etc. - Develop and fine-tune classical ML models using Random Forest, XGBoost, SVM, Bagging/Boosting, kernel methods, etc. - Collaborate with cross-functional teams to integrate ML solutions into production systems. - Conduct automated testing, model validation, and performance optimization. Qualifications Required: - AI/ML & Statistical Expertise - Strong hands-on experience in classical ML algorithms and predictive modelling. - Deep knowledge of statistical modelling techniques such as GLMs, clustering, time-series models, Bayesian modelling, causal modelling, hypothesis testing, and Design of Experiments (DoE). - Big Data Engineering - Strong experience building Big Data pipelines using PySpark / Spark MLlib, Hive, Hadoop, and ability to write efficient, scalable data preprocessing and ETL workflows. - Programming & Fundamentals - Expert-level proficiency in Python and SQL, along with a solid understanding of data structures, algorithms, design patterns, object-oriented programming, automated testing, and performance optimization. - Cloud & Distributed Systems - Experience with cloud platforms such as AWS, GCP, or Azure, and working knowledge of distributed systems and scalable ML architectures. - Deep Learning (Good to Have) - Working experience with TensorFlow, PyTorch, and deep learning architectures such as RNNs, LSTMs, Transformers, LLM-based models. - SAS Expertise (Added Advantage) - Hands-on experience with SAS Suite (E-Miner, Financial/Fraud modules) is a plus. Who Should Apply: - Candidates with a strong mathematical/statistical background. - Engineers who have productionized ML models and worked on enterprise-scale Big Data pipelines. - Immediate joiners or those serving notice.,