Nachiket Joshi

• Improve the operational systems and processes in support of organisation's mission - specifically, support better management reporting, information flow and management, business process and organisational planning.
• Manage and increase the effectiveness and efficiency of production, through continuous improvements to production function by identifying the bottlenecks as well as improving coordination and communication between sales, operations and other business functions including human resources and accounting while keeping a low cost and a high quality.
• Play a significant role in long-term planning, including initiatives geared toward operational excellence.
• Contribute to short and long-term organisational planning and strategy as a member of the management team.
• Was given an additional charge of digital marketing. Managed 11 AdWords and 4 Bing Ads account in total.
• Key achievements:
  • Continuous simplification and automation of procedures resulted in decreasing the costs by 8.8% and thereby increasing the bottom line by 9.5%.
  • Designed the ERP systems for the firm.
  • Single handed handling of operations from the time of having 10 employees to now a team of more than 100.
  • Managed a team of 40 editors. And a team of 5 Operations Managers.
  • Set up the SOP and policies for  the firm.
  • Operations Analytics: Detect and predict the trends in the order flow for strategic and short term planning.
  • Estimating the employee strength required to fulfill the capacity requirements.
  • Involved in formulating the HR Policy for the firm.
  • Created quality control procedures and policy for operations managers.
  • Designed MIS Tools to gather information from different sources and aggregate the data for various reports and calculation of performance metrics.
  • Created, set up and managed Bing Ads accounts.
  • Designed and tested automated bidding scripts for AdWords. Algorithms that would lower or increase the bidding on the keywords based on their recent performance.
  • Created Ads copies to be deployed internationally which resulted in achieving quality score of more than 7 which resulted in decreased marketing spends by 20%.
  • Budgeting of Campaigns, Ad groups and Keywords at regular intervals.
  • Implemented Machine Learning algorithms to generate Keywords to bid on, which resulted in increasing the account size by 1000% in terms of the number of keywords and more than 200% in terms of ROI.
  • Developed a mathematical model to automatically adjust keyword bids according to their recent performance enabling full automation of keyword bidding.
  • Full hiring cycle experience. From recruitment, training, performance appraisal, performance management to termination. Have conducted more than 70 interviews while hiring for manager as well as executive level positions. Competency mapping to testing to developing the training plan to performance improvement programs.

• Day trading Futures on NSE Currency, NSE, and MCX. Monitoring strategies running in the market.
• Developed many successful trading algorithms for highly efficient markets such as USDINR futures, Nifty Futures,Commodities  Futures with a low risk profile and a high Sharpe Ratio.
• Implemented Machine Learning Algorithms to trade Financial Markets.
• Used Value at Risk (VaR) models for risk management.

• Headed the asset reconciliation transition process.
• Headed the error control team to find out root cause of errors and implement solutions to avoid errors.
• Conducted frequent product training for team members.
• Perform reconciliation of cash accounts for various Mutual/Insurance Fund houses on a daily basis.
• Book trades for Mutual and Insurance Funds on the books of accounts on a daily basis.
• Project SOD cash balances for Mutual and Insurance funds on a daily basis.
• Perform reconciliation of securities on bi-weekly and monthly basis.

A MOOC offered by New York University Tandon School of Engineering on Coursera.

Courses include:

• Guided Tour of Machine Learning in Finance (Supervised learning in Finance).
• Fundamentals of Machine Learning in Finance (Unsupervised Learning, PCA & Dimensionality Reduction, Sequence Modeling and Reinforcement Learning).
• Sequence Modeling and Reinforcement Learning (Markov decision process and Reinforcement Learning, RL and INVERSE RL).
• Advanced Methods of Reinforcement Learning in Finance (Black-Scholes-Merton model, Physics and Reinforcement Learning).

A MOOC offered by UC San Diego on EdX.

Courses include:

• Python for Data Science (Python, NumPy, Pandas, Matplotlib, Sckikit-learn).
• Probability and Statistics in Data Science using Python (Probability theory and inferential statistics).
• Machine Learning Fundamentals ().
• Big Data Analytics Using Spark ().

Project Work: Tata Motors Ltd.

Analyzed annual financial statements of Tata Motors Ltd, which involved estimating various components of the statements to calculate and interpret Profitability, Solvency, Liquidity and Activity ratios