Data Analyst

Responsibilities:

• Identify the behaviors and patterns of telecom network dataset
• Understanding the distribution, variations and correlations of multiple dimensions of the dataset through visualizations.
• Generate insights and set up the groundwork for next level of modeling.

Responsibilities: Build Autoregressive models

• Worked on various datasets and learned smoothing techniques and measuring errors.
• Check on stationary, non-stationary, ACF, PACF tests.
• Developed simple auto regressive to moving average models
• Derive various performance metrics like RMSE, MAPE, etc. on different datasets and optimize performance

Responsibilities: Individual

• Data Preparation: Doing all sanity checks like missing values, type of data, outliers, etc. ensuring data to be suited for model building.
• Model building is done with defined target variable ,understanding which variables are significant in predicting the demand for shared bikes and validating against the assumptions of linear regression, etc.
• Model testing is done to ensure how well those variables describe the bike demands

• Managing a team of 6 recruiters ( AM & above) and responsible for end to end hiring and talent pipelines.
• Initiatives related to business development improving recruiting effectiveness, quality of hire and improving upon candidate / client experience.
• Hiring in India for mid to leadership roles across functions.
• Have successfully hired SVPs/VPs/AVPs in sales/account management, engineering, product management and finance across the globe.

• It was like an on /off but single handedly managing the business continuity.
• Successfully lifted and closed senior retained searches mostly in technology.
• Mandates closed were CTO, Sr VP- Engineering, Sr VP- Devops, etc.

• Played a key contributor role in building Delhi team as a central hub for HR across the globe i.e. APAC, UK and India.
• End-to-End management from business acquisition, delivery successful onboarding and managing the P&L.